50+ Remote Startup Jobs in India

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

 We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

 We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

 We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

 We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Role Overview

As a Software Craftsperson I, you will have 2+ years or experience and will work on well-defined tasks as part of a team, building strong software engineering fundamentals and gradually increasing your independence.

You’ll work closely with experienced engineers, ask questions, seek feedback, and learn the team’s ways of working. You’ll contribute to building reliable, maintainable software while developing your skills in coding, testing, debugging, tooling, and documentation.

At Incubyte, AI is part of how we craft software. You’ll use AI to explore solutions, learn faster, improve code, write and review tests, debug issues, and get quick feedback — while developing a strong understanding of the fundamentals behind the work.

Responsibilities

Responsibilities

Deliver well-defined tasks on time, with increasing independence and support from experienced engineers when needed.

Write clear, reliable, and maintainable code by following established team patterns and practices.

Build strong fundamentals in testing, debugging, tooling, and documentation.

Actively seek feedback, learn from code reviews and peers, and apply feedback to improve your work.

Ask questions, understand the “why” behind tasks, and connect your work to customer value.

Communicate clearly about progress, blockers, and challenges; raise problems along with possible solutions.

Contribute positively to team ceremonies, collaboration, and continuous small improvements.

Use AI thoughtfully to support learning, coding, testing, debugging, and faster feedback.

Requirements

What We're Looking For

Expertise in Ruby on Rails, Test Driven Development, React, React.js or JavaScript, and TypeScript 

Strong skills in object-oriented programming, data structures, algorithms, and software engineering methodologies 

Ability to design and develop web architecture and optimize existing infrastructure 

Experience working in Agile and eXtreme Programming methodologies within a continuous deployment environment 

Interest in mastering technologies like web server ecosystems, relational DBMS, TDD, CI/CD tools 

Knowledge of server configuration and deployment infrastructure 

Experience using source control, bug tracking systems, writing user stories, and technical documentation

Benefits

Life at Incubyte

​

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.

​

Perks

Dedicated learning & development budget.

Sponsorship for conference talks.

Comprehensive medical & term insurance.

Employee-friendly leave policies.

Home Office fund

Medical Insurance

About GeoRankers

GeoRankers is an AI searchlir visibility platform helping B2B SaaS companies understand how their brands appear across ChatGPT, Google AI Search, and Perplexity.

We are looking for an Off-Page SEO Specialist who can build relevant, high-quality backlinks through strong research, personalized outreach, and genuine industry relationships.

Key Responsibilities

• Identify relevant websites, blogs, newsletters, and resource pages in SaaS, marketing, SEO, AI, and startup categories
• Create targeted prospect lists based on relevance, website authority, organic traffic, and content quality
• Conduct personalized email outreach for guest posts, link insertions, resource pages, expert contributions, and partnerships
• Explore broken-link building, digital PR, and journalist outreach opportunities
• Coordinate guest-post topics and content requirements with the internal team
• Track prospects, responses, follow-ups, published links, and pending opportunities
• Monitor acquired backlinks to ensure they remain active
• Share monthly reports covering outreach activity, response rates, backlinks acquired, and key learnings

Monthly Expectations

• Conduct at least 100 relevant outreach attempts
• Secure approximately 8–10 quality backlinks, with a minimum expectation of 5–6
• Prioritize contextually relevant websites, generally with a Domain Rating of 25 or above
• Focus on genuine editorial backlinks instead of directories, profile links, or low-quality placements

Required Skills and Experience

• 1–3 years of hands-on experience in off-page SEO or link building
• Experience with manual backlink outreach and relationship building
• Strong written English and email communication skills
• Understanding of guest posting, blogger outreach, competitor backlink analysis, and broken-link building
• Ability to evaluate a website beyond surface-level SEO metrics
• Familiarity with Ahrefs, Semrush, Google Search Console, or similar tools
• Strong research, negotiation, organization, and follow-up skills
• Ability to work independently and take ownership of monthly targets

Experience working with B2B SaaS, technology companies, or early-stage startups will be an advantage.

Why Join GeoRankers?

• Work directly with the founding team
• Flexible, remote working arrangement
• Freedom to experiment with outreach strategies
• Opportunity to work in the emerging AI search and visibility category
• Potential for a longer-term association and esops based on performance

This is a backend role. You won't build screens, and you don't need frontend experience. The mobile team will add a language picker and pass a locale to the backend. Everything behind that is yours: the data model, content pipelines, LLM generation, retrieval, audio, notifications, and making sure all of it holds up in production.

What you'll build

1. The language data model

• Design how language lives in the database: user language preference, per-story translations, fallback chains (e.g. pt-BR → pt → en), and versioning so a translation is marked stale when its English source changes.
• stories.translations (jsonb) already exists and nothing reads it yet. Decide whether it stays, or whether we move to a dedicated story_translations table, and write down why.
• Everything ships as new, reversible migrations. We never edit an existing migration.

2. The content translation pipeline

• Our library has already been translated into several languages using the Anthropic Batch API, with a two-pass generate-then-review process. Move this into the repo so it's idempotent, re-runnable and cheap, and so it handles only the stories that changed.
• Build a glossary and style layer: Hebrew terms, names of sages and sources, and terms that must never be translated. Add automated QA checks (completeness, glossary adherence, length drift, broken formatting) plus a sampling workflow for native-speaker review.

3. Generation in the user's language

• Reflections, bridge text, the three practices (Echo, Naming, Walking) and Path arcs are generated by Claude through shared prompt modules in our Supabase edge functions. Make them produce native, natural output in the target language. That means writing in the language directly, not translating English after the fact. Our existing rules must still hold, e.g. each practice carries a Hebrew term with its meaning explained, now explained in the user's language.
• Build a per-language evaluation harness so we can check quality before a language goes live and catch regressions when prompts change.

4. Multilingual matching

• Today, language-validation detects the language of the user's input and blocks anything that isn't English. Replace that gate with detection and routing.
• Story matching uses OpenAI text-embedding-3-large over pgvector. Measure how well non-English input retrieves the right English-indexed stories. Then decide between cross-lingual matching, per-language embeddings, or a hybrid, and back the decision with numbers.

5. Audio

• Stories and reflections are read aloud by ElevenLabs voices. Audio is currently stored per voice (audio_urls), so it has to become per voice and per language. Pick voices for each language, and plan batch pre-rendering, storage, cost and backfill.

6. Server-side copy

• Move push notification copy (including our Shabbat-aware scheduling), transactional and lifecycle emails, and database-driven home-screen messages out of the code and into a locale-aware string system with proper plurals and date formats.

7. Safe rollout

• Several app versions are live at the same time, and older builds can't be changed. Every change you make must stay backward compatible: English stays the default, current RPC signatures stay the same, and each language can be switched on independently behind a flag.
• Track cost and quality for each language: tokens, TTS credits, fallback rate and generation failures.

Our stack

• Backend: Supabase: Postgres (RLS, RPCs, pgvector, jsonb, pg_cron) and 50+ Deno/TypeScript edge functions
• AI: Anthropic Claude (Messages and Batch APIs, prompt caching), OpenAI embeddings, ElevenLabs TTS
• Data/scripts: Python and Node
• Other: RevenueCat, Resend, Expo Push/FCM. The app is Expo/React Native, but you won't need to work in it.

You'll be a fit if you have

• 5+ years of backend engineering, with strong PostgreSQL: schema design, migrations on live data, RLS, stored functions, and performance tuning.
• Production TypeScript (Deno or Node) and solid Python for data pipelines.
• Shipped LLM features to production, beyond prototypes: prompt design, structured output, batch processing, cost control, and above all evaluation. You know how to tell whether output in a language you don't speak is good.
• Built backend internationalization before: locale negotiation, fallback chains, ICU/CLDR plurals and dates, and translation workflows with versioning.
• Worked with embeddings and vector search, and can design a retrieval evaluation.
• Care about keeping production running: backward compatibility, feature flags, and rollouts that can be undone.
• Write clearly. Decisions here get written down before they get built.

Nice to have

• Experience with ElevenLabs or other TTS pipelines.
• Supabase-specific experience.

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

We are looking for an experienced Software Engineer to join an AI engineering startup developing a document collection platform for accountants and professional services firms. 

Preference to candidates from Kerala, India.

The product eliminates the friction involved in gathering client files by automating document requests, centralising their collection, and organising incoming documents according to each organisation’s preferred folder structure.

The ideal candidate will be able to take ownership of work from start to finish, communicate clearly, and deliver high-quality solutions within tight timeframes.

What You’ll Work On

You’ll work with Python and Django daily, including models, views, templates, background jobs, and the wider product around them.

The frontend uses Django templates with HTMX and Alpine.js, built with Vite, TypeScript, and Tailwind CSS. The stack runs in Docker using PostgreSQL, Redis, RabbitMQ, and Celery.

You may also assist with ancillary projects, including custom integrations.

Project-based training will be provided.

Technology Stack

Backend: Python, Django, PostgreSQL, Celery, Redis and RabbitMQ

Frontend: Django Templates, HTMX, Alpine.js, Vite, TypeScript and Tailwind CSS

Infrastructure: Docker

Must Have

• Strong Python and Django skills
• Comfortable working with Docker
• Fluent written and spoken English
• Clear communication skills, including providing concise updates, asking honest questions, and writing information that others can act on
• Evidence of exceptional ability—not simply a list of tools, but something challenging you have built or solved

Preference will be given to candidates with at least three years of relevant professional experience.

Nice to Have

• Frontend experience with HTML, CSS and JavaScript
• Experience with HTMX, Alpine.js, TypeScript or Tailwind CSS
• Knowledge of PostgreSQL, Celery or pytest
• Experience with integrations, including APIs, OAuth and cloud storage
• Basic accounting knowledge

How to Apply

Please do not send a generic CV alone. Your application must include:

1. Evidence of exceptional ability: Describe a project, open-source contribution, production system or challenging problem you solved. Include a link to the repository, write-up or demo where possible. Focus on your personal contribution by detailing the specific parts of the project where you played a critical role and explaining precisely what you built or solved.
2. What you accomplished: Provide a short explanation of the outcome in your own words.
3. The hardest part: Explain the hardest part of the problem and how you dealt with it.
4. Your use of AI: Explain whether you use AI in your work and, if so, how you use it.
5. Your professional experience and interests: Include a brief paragraph summarising your professional experience and general interests.

Applications that do not include the above Croissant details above will not be considered.

What We Offer

• For the right candidate, salary will not be a constraint
• Project-based training
• A rewarding career with genuine opportunities for professional growth
• The opportunity to work on an innovative AI-driven product
• A remote, full-time position
• 
  

Job Details and Application Submission

Location: Remote

Employment Type: Full-time

Contract: One-year contract, with the possibility of extension based on satisfactory performance

Probationary Period: Six months

Preferred Experience: Three or more years

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing

Qualifications

•       Ability to work as a BA – Configuration.

•       Ability to work with various project management tools like BPMN, TFS, Jira, DevOps, Workflow tools like Microsoft Visio, Wireframe tools like Balsamiq and more.

•       Applied skills in MS Office and Presentations.

•       Strong analytical skills to analyse given data using tools and techniques.

•       Good logic building skills to draw logical insights.

•       Professional writing, networking, and communication style with the ability to formulate emails, presentations, and documents.

•       Competent to work in an active and diverse environment.

•       Embodies an exceptional problem-solving aptitude.

•       Recognized with a degree containing techno-functional knowledge with P&C insurance background/certification.

•       Proficient knowledge of SQL, SQL procedures and SQL Server Reporting Services (SSRS).

Key requirements for the position

•       Fundamental understanding of BA planning, management, tools, and techniques.

•       Practical knowledge business process frameworks and ability to implement the same.

•       Basic awareness of Process Flow creation tools like Lucid Chart, Bizagi, Agile and Integration tools.  

•       Ability to work on configuration requirements.

•       Awareness of performance standards (including any SLAs and KPIs).

•       Strong understanding of key business drivers and key stakeholders in each context.

•       Key awareness of agile development and functionalities on insurance applications.

•       Aware of organizational structure, key functions, offerings, and general policies.

•       Recognizes various concepts, jargons, products employed in IT and P&C insurance industry.

Job Description

•       Interacting in areas of business, understanding the business problems and providing possible solutions and plans for the same. Ability to apply the Configuration skills wherever required.

•       Independently eliciting requirements from clients, visualizing and articulating complex requirement in a user story and identify scopes and risks for respective client problems statement.

•       Maintaining requirements by ensuring forward and backward traceability for future validation.

•       Managing client expectations by presenting a holistic picture of the project, executing sessions for BA team and connecting different stakeholders to enable change. 

•       Applying business process frameworks to digitize, optimize and transform processes and tools in an integrated manner.

•        Performing the management of external stakeholders.

•       Evaluating business solutions and their performance measures, identifying Internal Solution Component Dependencies and monitoring UAT responses. 

•       Monitoring customer satisfaction, maintaining communication with them and keeping them updated through regular interaction.

•       Preparing documentation and paperwork as prescribed guidelines or compliance requirements.

•       Contributing to the organisational values and following industry and quality practices by actively engaging in the larger learning process.

•       Driving concise, structured, and effective communication with peers and clients.

 Hiring: SAP Vistex Consultant | Immediate Joiner

Location: Remote

Experience: 4–15 Years

Engagement: Contract to Hire (C2H)

Availability: Immediate Joiners Preferred

Role Overview

We are looking for an experienced SAP Vistex Consultant with strong hands-on expertise in Incentives, Pricing, and Rebates Management. The role involves configuration, support, and integration with SAP SD & MM modules in a remote setup.

Key Skills Required

• SAP Vistex (V/4) – Incentives, Rebates, Pricing
• Strong integration with SAP SD & MM
• Agreement management, accruals & settlement
• Configuration & production support experience
• Good communication & stakeholder handling

Ideal Candidate

• 4–6 years of SAP Vistex experience
• Immediate joiner (or max 15 days)
• Comfortable with C2H & Remote working
• Implementation + support exposure

We're Hiring: Agentic Tools Architect

Contract | Remote-first | Global

We're currently recruiting for one of our clients, A company that specializes in acquiring enterprise software businesses and transforming them into AI-native, profitable, scalable operations. They run remote-first, globally distributed teams, and their internal operations platform (Odoo, Redmine, GitHub) currently runs on human-shaped workflows. They're looking for someone to rebuild it for agents.

The Role

Redesign the client's operational tooling so AI agents can create, route, and resolve work alongside people — with minimal oversight. You'll own the roadmap, build the plugins (Rails-first), and set the guardrails.

You'll:

• Own feature roadmap across Odoo, Redmine, GitHub & adjacent systems
• Design agent-operable APIs, MCP servers, and automation
• Build Rails-based Redmine plugins, Odoo modules, GitHub Apps that survive version upgrades
• Review AI-generated PRs and agent-authored config; set standards for access, integrity, observability

You bring:

• 10+ years in software/platform engineering with deep SME knowledge of Odoo, Redmine, GitHub, or similar
• Expert Ruby on Rails, production Redmine plugin experience
• Real-world agentic dev experience (MCP, LLM tooling, agent workflows)
• Strong grip on delivery/support/ops business processes

Nice to have: Python + Odoo modules, PostgreSQL, legacy modernization experience, PE-backed/SaaS scale-up background

The web is about to gain a second interface

Today, websites are designed for people. Agents must interpret pages, hunt for controls, and imitate clicks to accomplish anything.

We believe that will change. Websites will expose their capabilities directly to agents: structured, testable interfaces that work alongside the human experience. WebMCP is an early step toward that future. Signett is building the developer platform around it.

Our goal is to make creating an excellent agent interface as normal as building an API or testing a user interface.

The foundational product already exists. Signett has a public TypeScript library, documentation, benchmarks, real-world integrations, a website, and a Chrome extension. You would not be joining to turn a slide deck into an MVP. You would be joining to discover what makes a promising product become something developers genuinely adopt.

See it at signett.ai.

The opportunity

You would be Signett’s first hire and would have unusual ownership over the product’s direction.

Your job is to run one loop repeatedly:

1. Find an external developer or team with a real reason to make its website agent-ready.
2. Work inside its codebase and ship the integration.
3. Identify what made the process difficult.
4. Fix that friction yourself—in the library, documentation, testing tools, or extension.
5. Publish what you learned so the next integration becomes easier.

You will move between engineering, product discovery, developer experience, and early distribution. There will be no handoff between those functions because, initially, you are the person connecting them.

The work could help establish how developers build and test agent interfaces for the web. It could also reveal that our present assumptions are wrong. Either outcome requires someone who cares more about finding the truth than defending the existing product.

The first 90 days

The initial targets are deliberately concrete:

• Five external teams attempt the 30-minute integration.
• At least three ship a real workflow without founder intervention.
• Two remain active or request a paid capability such as shared history, CI, analytics, or evaluations.
• Two reference integrations and case studies become public.

By the end, we should know which part of Signett developers truly value—exposure, testing, reliable execution, the Inspector, evaluations, or something we have not yet recognized.

You may be a strong fit if you have

• Six to ten years of experience as a product-oriented full-stack or frontend engineer.
• Strong TypeScript, React or Next.js, browser API, and Playwright or Cypress experience.
• Built SDKs, developer tools, browser tooling, API infrastructure, or observability products.
• Personally helped developers adopt something through documentation, examples, workshops, open-source work, or direct integrations.
• Enough commercial instinct to find a design partner, lead the conversation, and turn the resulting work into a useful public case study.
• The judgment and autonomy to make progress without daily direction.
• Clear writing and demonstration skills in addition to strong engineering ability.
• 
  

Experience with WebMCP or MCP is helpful but not required. Curiosity and the ability to learn an evolving standard matter more. The WebMCP proposal is public at github.com/webmachinelearning/webmcp.

The anti-sell

Signett has a product, but it does not yet have proven product-market fit. Adoption is the open question, and answering it is the core of this role.

You should not join if:

• You want a role devoted entirely to writing code handed to you through a roadmap.
• You expect someone else to find users, conduct interviews, write documentation, or publish the work.
• You need a large team, established processes, or daily management to be effective.
• Your experience is primarily managing mature organizations rather than building from ambiguity.
• Your main strength is developer content without production software behind it.
• You want to research or train models rather than build browser-based products developers use.
• The uncertainty of an emerging standard makes you uncomfortable.
• You need the stability and specialization of a conventional engineering position.

.

This is not a comfortable job with a “founding” title attached to it. It is a chance to take a technically serious, public product and prove—or disprove—that it deserves to become an important company.

How we will start

We begin with a paid four-to-six-week project involving a real external TypeScript application, not a synthetic coding exercise.

The purpose is for both sides to experience the actual work: finding a useful integration, shipping it, learning from developers, and improving Signett. If the collaboration works and the evidence supports continued investment, the intended path is a permanent, full-time role.

The work is fully remote. Compensation, location, time-zone overlap, and the terms of the initial project will be discussed transparently before the process begins.

About Us

Our company is a performance marketing and lead generation company working across pay-per-call, pay-per-lead, live transfer, and CPA traffic campaigns. We work with advertisers and traffic partners across several consumer verticals and are looking for an Affiliate

Manager who can help us find good publishers, get campaigns launched, and grow the partners that perform.

This is a hands-on role. We are looking for someone who can work independently, communicate well, and take ownership without needing a lot of management.

What You’ll Do

• Recruit new affiliates, publishers, media buyers, and lead-generation partners.
• Prospect through LinkedIn, Telegram, Teams, email, affiliate groups, conferences, and other industry sources.
• Build relationships with publishers and understand what types of traffic and offers they are looking for.
• Vet, Screen, Have Sales Calls, and Onboard new partners to get campaigns launched.
• Explain campaign requirements, payouts, caps, targeting, tracking, and compliance rules.
• Manage existing publisher relationships and look for ways to increase volume.
• Review daily and weekly performance including leads, calls, conversion rates, dispositions, returns, quality, and profitability.
• Work with publishers to improve traffic when performance is below expectations.
• Rotate traffic between campaigns and buyers based on performance and available capacity.
• Negotiate payouts, CPA terms, revenue-share arrangements, and other campaign economics.
• Set up and troubleshoot campaigns in platforms such as Ringba, LeadProsper, Everflow, TUNE, Offer18, TrackDrive, or similar systems.
• Work with postbacks, tracking links, APIs, pixels, and basic lead-routing setups.
• Monitor partners for compliance with campaign requirements and applicable marketing rules.
• Keep partner records, notes, follow-ups, and campaign information organized.
• Communicate with advertisers and internal team members when issues come up.
• Help identify new offers, traffic opportunities, and markets we should test.

What We’re Looking For

We care more about whether you understand this business than whether your resume is perfect.

Ideally, you have 2–5+ years of experience in affiliate marketing, performance marketing, lead generation, media buying, publisher development, or a related field.

You should be comfortable with:

• Affiliate and publisher relationship management
• Pay-per-lead, pay-per-call, CPA, CPL, CPS, live transfer, or revenue-share campaigns
• Recruiting and onboarding new traffic partners
• Negotiating payouts and campaign terms
• Analyzing campaign performance
• Lead and call quality
• Conversion rates and disposition reporting
• Affiliate tracking platforms
• Postbacks, pixels, APIs, and basic tracking concepts
• Excel or Google Sheets
• Email and LinkedIn outreach
• Working independently in a remote environment

Experience with Ringba, LeadProsper, Everflow, TUNE/HasOffers, Offer18, TrackDrive, Retreaver, or similar platforms is helpful but not required.

Experience in verticals such as credit, insurance, financial services, legal/MVA, home services, debt, Medicare, business loans, or other lead-generation markets is a plus.

What Makes Someone Good at This Job

The best person for this role probably likes talking to people but is also comfortable looking at numbers.

You need to be able to find partners, figure out whether their traffic is actually good, keep good partners happy, and deal with problems when something stops working.

You should be persistent about follow-up. Affiliate partners regularly disappear, get distracted, launch late, send the wrong traffic, or need help getting a campaign working. We want someone who stays on top of things instead of waiting for people to come back to them.

We also value people who are commercially minded. If an affiliate wants a higher payout, you should be thinking about whether the economics support it rather than simply saying yes or no.

What Success Looks Like

Within the first few months, you should be able to take ownership of a group of publishers, bring new partners into the network, get campaigns launched without much supervision, and understand which relationships deserve more attention.

Longer term, success means:

more quality affiliates → more campaign volume → better publisher retention → better margins → more revenue.

This is a revenue-producing position, so strong performance will be noticeable and rewarded.

Location

Fully remote.

We care primarily about performance, responsiveness, and your ability to work effectively with partners and the rest of the team.

Responsibilities

 Define and maintain EDI communications & design, ensuring the architecture

supports global scalability and high availability across all business units.

 Lead the end-to-end design and deployment of complex EDI integrations using

Oracle EDI modules, Oracle integration cloud (OIC) and Cleo Integration Cloud

(CIC).

 Manage and optimize communication protocols (AS2, SFTP, HTTPS, API) and

oversee the onboarding of new trading partners (customers and suppliers).

 Collaborate with IT developers and ERP specialists to integrate EDI workflows

with ERPs like Oracle, ensuring data integrity across the transactions.

 Oversee the creation and maintenance of complex EDI maps (X12, EDIFACT)

and translation rules to meet diverse partner requirements.

 Conduct thorough analysis of existing EDI processes to identify latencies or

manual touchpoints, implementing automated solutions to improve operational

efficiency.

 Lead the development of comprehensive test plans and coordinate User

Acceptance Testing (UAT) for all new partner integrations or system upgrades.

 Provide Tier 3 technical support for EDI failures and mentor junior

analysts/developers on EDI best practices and standards.

Personal Characteristics

 Exceptional ability to troubleshoot complex integration failures and design long-

term architectural fixes rather than temporary patches.

 Advanced ability to translate technical EDI concepts into business language for

stakeholders and executives.

 Proven track record of building trusting relationships with cross-functional teams,

including Supply Chain, Finance, and IT.

 Ability to work with a high degree of accuracy, specifically regarding data

mapping and compliance with global messaging standards.

 Self-motivated individual who thrives on autonomy and takes ownership of the

entire B2B integration lifecycle.

 Comfortable working in a fast-paced EMS environment with shifting priorities and

diverse customer requirements.

Qualifications & Skills

 Bachelor’s degree in computer science, Information Technology, Engineering, or

equivalent experience in related field.

 5+ years of experience in EDI architecture and development.

 Extensive hands-on experience with Oracle EDI/E-Business Suite and Cleo

(CIC) is preferred.

 Deep knowledge of EDI standards (ANSI X12, EDIFACT) and communication

protocols (AS2, FTP/S, API).

 Prior experience in the EMS (Electronics Manufacturing Services) or High-Tech

Manufacturing industry is a must.

 Strong grasp of supply chain business processes, including Demand Planning,

Manufacturing Operations, and Intercompany transactions.

 Familiarity with SQL, XML, and JSON; experience with ERP-integrated EDI is

essential.

 Understanding of secure data transmission standards and B2B security best

practices.

We value diversity in our workplace and we are committed to Employment Equity. We

welcome & encourage applications from all qualified candidates.

Insurity’s Next Data Scientist:

We are seeking a Data Scientist to join our Predict team, focused on building and maintaining predictive models that support underwriting, claims, and audit use cases across Workers' Compensation and Commercial Auto. This role will be based in India and will play a key part in scaling our data science capabilities.

What Our Data Scientist Will Do: 

• Develop predictive models using GLM and machine learning techniques such as GBM, Random Forest, and XGBoost
• Perform feature engineering, selection, and transformation to optimize model performance
• Analyze structured and unstructured datasets to uncover insights and support model development
• Indentify and integrate third-party data sources to augment existing datasets and improve model accuracy
• Collaborate with product and engineering teams to integrate models into production environments
• Use AWS tools such as SageMaker and EC2 to build, train, and deploy models
• Document modeling decisions and communicate findings to technical and non-technical stakeholders
• Support model monitoring and performance tracking over time
•  

Who We’re Looking For:

• 2-5 years of experience in data science or predictive modeling
• Strong understanding of GLM and ML algorithms (GBM, XGBoost, Random Forest)
• Experience with Python and relevant libraries (scikit-learn, pandas, NumPy)
• Familiarity with AWS tools, especially SageMaker and EC2
• Experience with feature engineering and model evaluation techniques
• Ability to translate business problems into analytical solutions
• Strong communication skills and ability to work collaboratively in a cross-functional team
• Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science)
• Active listening
• Analytical and critical thinking
• Self-starter and quick learner
• Detail-oriented
• Ability to collaborate and work independently 
• Written and oral English communication
• Time management including work planning, prioritization, and organization 
• Sound judgement
• Ability to handle multiple priorities or tasks
• Flexible and adaptable

Role: Principal AI Architect — Multimodal Video Intelligence

Location: India Remote, with overlap with Singapore working hours

Employment Type: Full-time

Reporting to: Founder / CEO

Function: AI Architecture, Multimodal AI, Video Intelligence, Media Representation

About the Client

The client is building an AI-native media intelligence platform that transforms long-form video into structured, searchable, reusable and monetisable media intelligence.

The platform is not simply a video-clipping tool. We are developing a persistent intelligence layer for media, where video, audio, speech, text, objects, scenes, events, entities, emotions, narrative arcs and commercial signals are processed into a reusable representation that can support multiple downstream use cases, including:

• short-form clip generation;
• semantic search;
• scene and narrative understanding;
• contextual advertising;
• shoppable video;
• creator and content analytics;
• automated editing workflows;
• future media-intelligence APIs.

We are looking for a Principal AI Architect who can define and guide the AI architecture behind this platform.

Role Summary

The Principal AI Architect — Multimodal Video Intelligence will own the technical architecture for AI systems, including multimodal video understanding, persistent media representation, model orchestration, evaluation frameworks, and production AI design.

This is a hands-on architecture role. The ideal candidate can move between research papers, model selection, system design, data schemas, prototype review, engineering trade-offs, and implementation guidance.

You will work closely with the Founder / CEO, senior AI engineers, computer vision engineers, backend engineers and external vendors to convert the product and IP vision into a robust technical system.

Key Responsibilities

1. AI System Architecture

• Define the end-to-end AI architecture for long-form video understanding.
• Design the processing pipeline from video ingest to structured media intelligence.
• Define how vision, audio, speech, text, metadata and user signals should be fused.
• Design the architecture for reusable media intelligence rather than one-time clip generation.
• Ensure the system can support multiple downstream applications from the same processed media layer.

2. Persistent Media Representation

• Design persistent media representation layer across multiple levels, including frame, object, shot, scene, segment, entity, event and full-video levels.
• Define what intelligence must be stored permanently versus computed on demand.
• Design schemas for temporal, spatial, semantic, narrative and commercial metadata.
• Define provenance, confidence, model versioning and evidence-tracking requirements.
• Ensure the representation remains usable even when underlying AI models are replaced or upgraded.

3. Multimodal Model Strategy

• Select and evaluate appropriate models for video, image, audio, speech, OCR, entity extraction, scene understanding, action recognition, embeddings, reranking and LLM/VLM reasoning.
• Decide where to use open-source models, commercial APIs, fine-tuning or custom models.
• Define model interfaces so models can be swapped without breaking downstream systems.
• Guide model benchmarking for accuracy, latency, cost and scalability.
• Prevent over-dependence on any single model vendor or API.

4. Temporal and Narrative Intelligence

• Design approaches for understanding long-form video structure, including scenes, events, story arcs, character/entity continuity and engagement peaks.
• Define methods to identify clip-worthy moments across different content types.
• Support narrative scoring, highlight ranking, scene segmentation and coherence validation.
• Ensure that clips are not only visually interesting but contextually and narratively coherent.

5. Evaluation and Benchmarking

• Define objective evaluation frameworks for AI outputs.
• Build or guide creation of benchmark datasets and UAT criteria.
• Define metrics for clip quality, scene accuracy, entity continuity, timestamp alignment, hallucination control, ranking quality, retrieval precision and cost efficiency.
• Establish model and prompt evaluation processes.
• Create regression-testing methodology when models, prompts, schemas or scoring logic change.

6. Search, Retrieval and Knowledge Layer

• Design hybrid search architecture across transcript, visual events, metadata, embeddings and structured knowledge.
• Define when to use relational storage, vector databases, graph databases and object storage.
• Design queryable media intelligence for downstream APIs and applications.
• Support knowledge-graph or ontology-based representation where useful.
• Ensure retrieved outputs are evidence-backed and timestamp-grounded.

7. Production AI Architecture

• Work with AI engineers to convert architecture into deployable services.
• Guide decisions on batching, GPU inference, model serving, queues, retries, observability and cost controls.
• Review pipeline designs involving FFmpeg, GStreamer, DeepStream, TensorRT, Triton, ONNX, cloud services and model APIs.
• Define failure-handling, reprocessing, versioning and rollback mechanisms.
• Support scalable design without premature overengineering.

8. IP and Technical Differentiation

• Help translate AI architecture into defensible technical differentiation.
• Support patent-related technical disclosures where required.
• Identify what is proprietary versus commodity.
• Avoid building a generic wrapper over existing models.
• Ensure the architecture reinforces the core thesis of persistent, reusable media intelligence.

9. Team Guidance

• Provide technical direction to senior AI engineers and computer vision engineers.
• Review designs, experiments, evaluation results and architecture decisions.
• Mentor engineers without becoming a pure people manager.
• Help define technical milestones for the first 90, 180 and 365 days.
• Support hiring, technical interviews and vendor evaluation where needed.

Required Experience

The ideal candidate should have:

• 8+ years of AI/ML experience, with significant exposure to computer vision, video AI, multimodal AI, retrieval systems or production ML architecture.
• Strong experience designing AI systems, not only implementing isolated models.
• Hands-on experience with video understanding, temporal modelling, multimodal pipelines, VLMs, LLMs, embeddings, ranking or retrieval.
• Experience taking AI systems from prototype to production.
• Strong knowledge of Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face or equivalent.
• Experience with model evaluation, benchmarking, error analysis and dataset design.
• Understanding of production architecture: APIs, queues, databases, cloud, model serving, observability and deployment trade-offs.
• Ability to work with founders and engineers in a high-ambiguity startup environment.

Strongly Preferred Experience

• Video understanding, action recognition, scene segmentation, event detection or video retrieval.
• Multimodal AI involving video, audio, speech, text and metadata.
• LLM/VLM orchestration for structured outputs.
• Prompt/version management, schema validation and hallucination control.
• Embedding search, vector databases, reranking and retrieval evaluation.
• Knowledge graphs, ontologies, entity resolution or temporal knowledge representation.
• Model serving using TensorRT, Triton, ONNX, vLLM, DeepStream or similar.
• Experience with long-form video, OTT, sports media, entertainment, creator platforms, advertising technology or social commerce.
• Experience contributing to patents, technical disclosures or investor diligence.

Technical Areas

The candidate should be comfortable discussing and making architecture decisions across:

• Computer vision;
• video AI;
• multimodal fusion;
• speech-to-text;
• OCR;
• image/video embeddings;
• VLMs and LLMs;
• semantic search;
• vector databases;
• graph databases;
• temporal reasoning;
• ranking and scoring systems;
• prompt orchestration;
• model evaluation;
• model versioning;
• data lineage;
• GPU inference;
• cloud AI deployment.

What This Role Is Not

This is not a role for someone who has only built:

• chatbots;
• basic RAG demos;
• LangChain prototypes;
• prompt-engineering workflows;
• simple OpenAI/Gemini API wrappers;
• dashboards over model outputs;
• classical computer vision demos without production architecture;
• MLOps pipelines without AI system-design depth.

The role requires architectural depth in AI systems, not just familiarity with AI tools.

First 90-Day Expectations

First 30 Days

• Review product thesis, patent direction, prototype plans and existing technical assumptions.
• Assess current team capability and architecture gaps.
• Define the first version of AI architecture.
• Identify immediate technical risks and validation priorities.

First 60 Days

• Deliver a detailed architecture document covering media representation, model stack, pipeline design, storage strategy, evaluation framework and implementation roadmap.
• Define the canonical media-intelligence schema.
• Define model-selection and benchmarking criteria.
• Guide senior engineers on first implementation milestones.

First 90 Days

• Help the team implement and validate the first working version of the persistent media-intelligence layer.
• Establish evaluation datasets and UAT metrics.
• Review prototype outputs and improve architecture based on evidence.
• Produce a 6-month AI roadmap with technical risks, milestones and resourcing needs.

Success Metrics

The Principal AI Architect will be successful if:

• They have a clear AI architecture that the engineering team can execute.
• The platform does not collapse into a generic clip-generation pipeline.
• The media representation is reusable across multiple use cases.
• Models, prompts and schemas are versioned and testable.
• AI outputs are measurable through objective benchmarks.
• Snehashish, Abhishek and other engineers have clear technical direction.
• The architecture supports both product execution and investor/IP defensibility.

Candidate Personality Fit

The right candidate should be:

• intellectually strong but practical;
• hands-on enough to review code and experiments;
• comfortable with ambiguity;
• willing to challenge assumptions with evidence;
• able to simplify complex AI architecture for engineers and investors;
• disciplined about evaluation, cost and production constraints;
• not attached to one model, tool or vendor;
• able to work in a founder-led early-stage startup. 

• Configure, maintain, and support Oracle RMCS (Revenue Management and Contract Management) based on business requirements.
• Analyze and independently resolve RMCS functional and technical issues, defects, and production incidents.
• Perform root-cause analysis, troubleshooting, configuration changes, and technical fixes for RMCS-related issues.
• Manage RMCS setup and configuration, including revenue contracts, performance obligations, allocation, revenue recognition, and accounting rules.
• Understand and troubleshoot the end-to-end data flow between Oracle EBS and RMCS across various business scenarios.
• Analyze EBS-to-RMCS interfaces, integrations, transaction flows, and data synchronization issues.
• Develop or modify technical solutions using SQL/PLSQL, APIs, interfaces, and other Oracle technical components where required.
• Support integration-related issues involving Oracle EBS, Oracle Fusion, RMCS, AR, GL, Order Management, and other upstream/downstream systems.
• Validate configuration and technical changes through unit testing, integration testing, and defect resolution.
• Work with functional and business teams to understand requirements and translate them into RMCS configuration or technical solutions.
• Perform impact analysis for RMCS enhancements, fixes, and configuration changes.
• Monitor RMCS processing and investigate failed transactions, incorrect revenue recognition, accounting discrepancies, and interface errors.
• Support implementation, enhancement, migration, and production support activities for RMCS.
• Prepare technical/functional documentation covering configuration, integrations, issue resolution, and business processes.
• Ensure solutions follow Oracle RMCS best practices while minimizing unnecessary customization.

Role Overview

We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes on GCP.
• Build, optimize, and maintain data solutions using Google BigQuery.
• Develop complex SQL queries for data transformation, aggregation, and analysis.
• Design efficient data models and optimize pipelines for performance, scalability, and cost.
• Integrate data from multiple sources and ensure data quality, reliability, and availability.
• Troubleshoot pipeline and data issues and drive continuous improvement.
• Collaborate with data architects, analysts, application teams, and business stakeholders.
• Follow best practices for cloud security, data governance, testing, and documentation.

Required Skills

• 8+ years of Data Engineering experience
• Strong hands-on experience with GCP, Django, and MongoDB
• Extensive experience with BigQuery
• Advanced SQL skills
• Strong understanding of ETL/ELT and data pipeline development
• Data modeling and data warehousing experience
• Experience handling large-scale datasets and performance optimization
• Strong problem-solving and communication skills

Good to Have

• GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
• Python or other data engineering languages
• Experience with data governance and security
• Agile development experience

Job Description

This is a remote position.

Experience Level

We're looking for a seasoned Product Owner with at least 2–4 years of experience owning a product backlog end-to-end within an Agile delivery environment. You should be a "delivery craftsperson" who can demonstrate a track record of turning ambiguous, cross-team requirements into shipped, working software — with particular comfort operating inside platforms where your product's success depends on coordination with teams you don't manage.

Role Overview

As a Product Owner, you will own the backlog and delivery cadence for one product within a tightly interconnected platform, where your product's roadmap depends on — and feeds into — several sibling products. You'll act as the point of alignment between engineering teams, supporting product managers, and client stakeholders, translating business and compliance needs into backlog items ready for a development team to execute against.

A key part of the role is holding the line on requirements quality: defining clear acceptance criteria before work enters a sprint, and sequencing competing demands — new features, maintenance of live services, and production support — that your team carries simultaneously. Because your product does not operate in isolation, a large part of the job is coordinating dependencies across teams that don't report to you.

Key Responsibilities

• Backlog Ownership & Requirements Definition: Own and prioritize the product backlog; define acceptance criteria for accuracy, completeness, and readiness before stories are marked sprint-ready.
• Cross-Team Dependency Coordination: Sequence and negotiate delivery across multiple dependent engineering teams (platform, integration, infrastructure, and adjacent product teams), since most features require multi-team scheduling rather than single-team execution.
• Delivery Prioritization Under Competing Demands: Balance new feature development, maintenance of live production services, and active production support within the same backlog, without letting one silently starve the others.
• Domain Ramp-Up: Build working depth in the specific technical and regulatory domain tied to your assigned product — this may include healthcare EDI transaction standards, web-automation/data-extraction reliability, credential and access-security models, or regulated payments and remittance processing, depending on placement.
• Stakeholder & Requirements Governance: Partner with the supporting Product Manager and client-side stakeholders to close open requirement decisions before development starts, hold sign-off discipline, and manage rework risk from late-stage scope changes.
• Data & Interface Quality Ownership: Where your product's output feeds downstream systems, own the interface contract (field definitions, data completeness, naming) to prevent avoidable rework further down the chain.

Requirements

What We're Looking For

• Proven Product Ownership Experience: Track record owning a backlog end-to-end in an Agile environment, ideally within a platform where products are tightly coupled rather than independent.
• Domain Adaptability: Comfort ramping quickly into unfamiliar technical or regulatory domains — some assignments require near-immediate fluency (e.g., regulated payments, EDI standards), while others allow for a longer runway.
• Cross-Functional Coordination Skills: Demonstrated ability to sequence work and resolve competing priorities across multiple engineering teams that don't report into the same chain.
• Analytical Rigor: Ability to write precise, testable acceptance criteria and reason through data quality or completeness gaps before they become delivery blockers.
• Strong Stakeholder Communication: Comfortable representing product status and trade-offs to both engineering teams and client-facing stakeholders, in plain, non-technical language when needed.
•  Judgment Under Ambiguity: Able to recognize when a decision needs escalation versus independent ownership — particularly important for the more regulation-heavy assignments, where working without senior support isn't advisable early on.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

Inside Sales Executive

Google Workspace, Inbound Deals & Deal Support

📍 Mumbai (On-site) | Full-time | 1-2 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are also a certified Google Cloud Partner and an authorised Google Workspace reseller.

We are hiring an Inside Sales Executive to own the inbound Google Workspace funnel: responding to enquiries, understanding what the customer actually needs, building the deal, and taking it through to a signed subscription.

This is an inbound role. You will not be cold calling or building outbound lists.

Enquiries arrive through our website, Google referrals, and existing client relationships, and your job is to convert them.

That means a discovery conversation to size the requirement (user count, edition, term, migration needs), registering the opportunity in the Google Partner Sales Console, working with our Google partner account manager and channel team to confirm pricing and any available incentives, presenting the quote to the customer, and following through until the order is placed and the tenant is live.

The role reports to the sales lead and works alongside the technical team on setup and migration questions.

A typical day includes discovery calls with new enquiries, a pricing request to the Google partner team on an upcoming renewal, a quote sent to a customer who enquired earlier in the week, and a follow-up on a deal waiting for the customer’s approval.

Responsibilities:

Inbound Lead Qualification

Respond to inbound Google Workspace enquiries within the agreed response time.

Run the first conversation over call or video, establish the customer’s current setup, user count, timeline, and decision process, and separate genuine opportunities from information requests.

Requirement Gathering

Capture what the customer needs in enough detail to build an accurate quote: number of users, Business Starter, Standard, Plus or Enterprise edition, commitment term, data migration from Microsoft 365 or another provider, storage needs, and any compliance or security requirement that changes the edition.

Deal Creation and Pricing

Create and maintain deals in the Google Partner Sales Console.

Register opportunities, request pricing and applicable promotions or incentives, and keep deal records accurate as the conversation develops.

Coordination with Google

Work with Google partner account managers and channel relationship teams to obtain pricing approvals, clarify licensing rules, escalate blocked deals, and stay current on programme changes that affect what we can offer.

Quotation and Proposal Delivery

Prepare and send quotes and simple proposals to customers.

Explain edition differences, per-user pricing, annual against flexible plans, and renewal implications in language a non-technical buyer understands.

Deal Follow-Through and Closure

Own the deal from first conversation to order placement.

Follow up on open quotes, handle standard objections on price and edition choice, coordinate paperwork, and confirm the subscription is provisioned correctly.

Provisioning and Basic Configuration Support

Assist with tenant setup and initial configuration: domain verification, user account creation, licence assignment, and basic administrative settings.

Coordinate with the technical team on migrations and anything beyond straightforward configuration.

Renewals and Account Expansion

Track upcoming renewals across the existing Workspace customer base, initiate renewal conversations ahead of the date, and identify licence upgrades or seat additions where the customer’s usage has grown.

Pipeline Hygiene and Reporting

Maintain accurate records of every enquiry, conversation, quote, and deal stage in the CRM.

Provide a weekly view of the inbound funnel, conversion, and deals at risk.

Requirements:

1 to 2 Years of Inside Sales, Inbound Sales, or Presales Experience

In software, SaaS, cloud services, or IT products.

Candidates from a cloud reseller, Google or Microsoft partner, or IT services background will be at an advantage.

Strong Spoken and Written English

You will be the first person a prospective customer speaks to.

You must be able to hold a confident discovery conversation, write a clear quotation email, and explain a licensing decision without confusing the buyer.

Comfort with a Consultative, Question-Led Sales Conversation

Able to ask about the customer’s current environment and timeline rather than reciting product features, and able to judge when a requirement is not yet real.

Working Familiarity with Google Workspace

Gmail, Drive, Docs, Sheets, Meet, and a general understanding of the edition tiers and how organisations use them.

Deep administrative knowledge is not expected at this level.

Basic Technical Aptitude

Able to learn tenant provisioning, domain verification, licence assignment, and console navigation.

We will train you on the Partner Sales Console and the Workspace admin console.

CRM and Process Discipline

Comfortable working in a CRM, keeping deal records current, and following a defined sales process.

Reliable follow-up matters more than volume in this role.

Coordination Skills

Able to work simultaneously with the customer, our internal technical team, and the Google partner team, and to keep a deal moving when it depends on someone else.

Bachelor’s Degree

In business, marketing, commerce, technology, or a related field.

Nice to Have:

• prior work at a Google Cloud or Google Workspace reseller
• exposure to the Google Partner Sales Console or Workspace admin console
• Google Workspace Administrator or Google Cloud Digital Leader certification
• experience with Microsoft 365 to Google Workspace migrations
• familiarity with SMB and mid-market IT buying cycles in India
• 
  

To Apply

To apply, send your resume to careers @unicoconnect.com

Where You’ll Create Impact

·         Build & Ship: Architect, build, and deploy production-grade iOS and Android features using React Native + TypeScript from scratch to store release.

·         Pipeline Ownership: Own the full release lifecycle using Expo + EAS, managing App Store/Play Store submissions, provisioning, and CI/CD.

·         Craftsmanship: Turn complex Figma designs into ultra-fast, polished components with fluid animations, backed by clean API integrations and rock-solid performance.

·         Systems Thinking: Scale mobile infrastructure to handle heavy data flows, offline sync, and real-time enterprise AI features seamlessly.

What Sets You Up for Success

·         5+ years of hardcore mobile engineering experience (Android/iOS foundation, ideally within high-growth, high-intensity startups).

·         Outlier Agency: High-integrity work ethic, extreme initiative, and zero need for hand-holding.

·         Performance Obsession: Track record of shipping silky-smooth, high-performance apps with complex UI, animations, and tight memory management.

·         Release Mastery: Deep comfort with Figma-to-code workflows and navigating the entire release cycle from local IDE to live store deployments.

·         Quality Mindset: Hands-on experience with unit testing, end-to-end QA pipelines, and production monitoring.

Assistant Sales Manager

The Assistant Sales Manager supports the Sales Manager in achieving sales targets, expanding the customer base, managing sales operations, and driving revenue growth. The role involves supervising the sales team, developing customer relationships, identifying new business opportunities, and ensuring effective execution of sales strategies.

Key Responsibilities:

• Assist in developing and implementing sales strategies and plans.
• Support the Sales Manager in achieving monthly and annual sales targets.
• Manage and motivate the sales team to improve performance.
• Generate leads and identify new business opportunities.
• Build and maintain strong customer relationships.
• Handle key customers and support account management activities.
• Monitor sales pipeline, leads, conversions, and follow-ups.
• Prepare sales reports, forecasts, and performance updates.
• Conduct market research and monitor competitor activities.
• Support pricing, negotiation, and deal-closing activities.
• Manage distributors, dealers, channel partners, or sales territories.
• Coordinate with marketing, operations, finance, and customer service teams.
• Track team performance and ensure timely achievement of targets.
• Provide sales training, coaching, and guidance to team members.
• Resolve customer issues and ensure high customer satisfaction.
• Ensure proper usage and updating of CRM and sales databases.

Sales Head

Responsible for developing and executing sales strategies to drive revenue growth, expand market presence, acquire new customers, and strengthen relationships with key accounts. Leads and motivates the sales team to achieve business targets while monitoring sales performance, market trends, customer needs, and competitive activities.

Key Responsibilities:

• Develop and implement sales strategies and business plans.
• Drive revenue, sales growth, and profitability.
• Lead, mentor, and manage the sales team.
• Set sales targets and monitor achievement.
• Identify new markets, customers, and business opportunities.
• Manage key accounts and strengthen customer relationships.
• Develop sales forecasts, budgets, and performance reports.
• Manage sales pipeline, CRM, and conversion activities.
• Negotiate commercial terms and close high-value deals.
• Monitor market trends and competitor activities.
• Develop and manage distribution/channel networks.
• Collaborate with marketing, operations, finance, and senior management.
• Ensure customer satisfaction, retention, and repeat business.
• Analyze sales data and implement corrective actions to improve performance.

Key Responsibilities

·    Develop and maintain FitNesse fixtures and supporting Java components for automated regression testing of Calypso Back Office modules.

·      Design and implement automation solutions using Java and Calypso APIs to validate business workflows and application functionality.

·      Build, enhance, and maintain reusable automated regression suites for critical Back Office business processes.

·      Collaborate with developers, business analysts, and QA engineers to translate business requirements into automated test scenarios.

·      Integrate new functionality into the existing automation framework while ensuring code quality, maintainability, and reusability.

·      Analyse automation failures, perform root cause analysis, and work closely with development teams to resolve issues.

·      Participate in code reviews and contribute to improving the automation framework and QE best practices.

·      Ensure adequate regression coverage for new features, enhancements, and production fixes.

·      Contribute to continuous improvement initiatives for test automation, framework design, and release quality.

Mandatory Skills

·     Strong Java development experience.

·     Hands-on experience with the Calypso Back Office module.

·     Experience developing and maintaining Java-based automation framework components.

·     Good understanding of Calypso APIs and integration mechanisms.

·     Experience with Git or other source control systems.

·     Exposure to CI/CD pipelines.

·     Good analytical, debugging, and problem-solving skills.

Preferred Skills

·   Experience working with FitNesse.

·     Understanding of regression testing and Quality Engineering practices.

Qualifications

·     Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

·   3–6 years of experience in software engineering, test automation, or Quality Engineering.

·     Strong verbal and written communication skills.

·     Ability to work collaboratively in an Agile environment.

What We're Looking For

·    Strong hands-on experience in Java development.

·    Good understanding of Calypso tool and the ability to translate complex business scenarios into effective automated tests using fitNesse framework.

·    A problem solver who enjoys analysing technical challenges and finding practical, scalable solutions.

·    Self-motivated, collaborative, and comfortable taking ownership while working closely with developers, QA, and business stakeholders.

Location

Bengaluru, Karnataka, India

Experience

3 - 6 Years

Employee Type

Direct Contract

Job highlights

·        1+ years experience in placement operations, recruitment, or corporate relations; skilled in LinkedIn, Naukri, Indeed sourcing; strong HR outreach and relationship-building

·        Source job openings, connect with recruiters, coordinate placement processes, manage placement portal and student profiles, maintain employer database, and generate placement reports

Job description

Key Responsibilities:

Job & Opportunity Sourcing

·        Actively source relevant job openings for students across LinkedIn, Naukri, Indeed, company career pages, recruitment platforms, and other job portals.

·        Identify openings aligned with students' skills, courses, experience levels, locations, and career aspirations.

·        Build and maintain a database of relevant companies, recruiters, HR professionals, and active job openings.

·        Track new hiring requirements and identify recurring recruitment opportunities.

·        Research companies and industries to identify potential hiring partners for BHI.

HR & Recruiter Outreach

·        Connect with HR Managers, Talent Acquisition teams, recruiters, hiring managers, and company representatives through calls, email, LinkedIn, and other professional channels.

·        Introduce and its student talent pool to prospective employers.

·        Understand current and upcoming hiring requirements from companies.

·        Share relevant candidate profiles and CVs based on employer requirements.

·        Build and maintain strong relationships with HRs and recruiters.

·        Follow up consistently with companies regarding open positions, candidate shortlists, interviews, and selection status.

·        Work towards developing a strong network of active hiring companies.

Placement Coordination

·        Coordinate the complete placement process between students, and employers.

·        Share job opportunities with eligible students through the CEC portal and other approved channels.

·        Collect and verify student applications for relevant positions.

·        Coordinate candidate shortlisting with recruiters and internal teams.

·        Schedule interviews, assessments, HR rounds, and other selection processes.

·        Track interview attendance, candidate status, feedback, selections, and offer status.

·        Follow up with both students and recruiters until the recruitment process is completed.

·        Maintain accurate records of all ongoing and completed placement activities.

BHI Portal Management

·        Manage and regularly update job opportunities, employer details, candidate applications, interview schedules, and placement status on the BHI portal.

·        Ensure all placement information is accurate and updated in a timely manner.

·        Upload new job openings and ensure relevant students are notified.

·        Maintain candidate application and selection records.

·        Track the complete placement pipeline through the portal.

·        Generate and maintain placement-related reports and MIS as required.

Student CV & Profile Management

·        Coordinate with students to collect and update their latest CVs and professional profiles.

·        Ensure student CVs are aligned with relevant job descriptions and industry requirements.

·        Help students improve basic CV structure, formatting, keywords, and role-specific positioning.

·        Maintain updated student CV databases.

·        Map students to relevant job opportunities based on their skills, experience, course background, and career goals.

·        Ensure students are placement-ready before being recommended to employers.

Student Placement Support

·        Communicate relevant job opportunities to eligible students.

·        Guide students on application processes, interview schedules, documentation, and employer requirements.

·        Coordinate interview preparation requirements with relevant internal teams.

·        Track student participation across placement drives and recruitment processes.

·        Follow up with students regarding interview attendance, results, offers, and joining status.

·        Maintain professional communication with students throughout the placement journey.

Employer & Placement Database

·        Build and continuously expand BHI's database of companies, HR professionals, recruiters, hiring managers, job openings, and placement outcomes.

·        Maintain accurate records of employer interactions and hiring requirements.

·        Track companies that regularly hire from BHI.

·        Identify opportunities to develop long-term hiring relationships.

·        Maintain a database of previous recruiters for future hiring requirements.

Reporting & MIS

·        Maintain daily and weekly placement activity reports.

·        Track metrics such as:

o   Jobs sourced

o   Companies contacted

o   HR/recruiter connections

o   Active hiring requirements

o   Candidates submitted

o   Interviews scheduled

o   Candidates shortlisted

o   Offers received

o   Students placed

o   Joining status

·        Share regular placement updates with the reporting manager.

·        Maintain accurate placement records and documentation.

Key Skills Required

·        Strong communication and interpersonal skills.

·        Good understanding of recruitment and hiring processes.

·        Experience using LinkedIn, Naukri, Indeed, and other job portals for sourcing opportunities.

·        Ability to identify relevant job opportunities and match them with candidate profiles.

·        Strong HR/recruiter outreach and relationship-building skills.

·        Excellent follow-up and coordination abilities.

·        Strong organisational and time-management skills.

·        Comfortable handling multiple candidates, recruiters, and hiring processes simultaneously.

·        Good working knowledge of MS Excel/Google Sheets.

·        Comfortable working with CRM, ATS, placement portals, or other recruitment platforms.

·        Strong attention to detail and data accuracy.

·        Target-oriented and proactive approach.

We are looking for a senior, hands-on DevOps and Backend Integration Engineer to lead the production deployment and integration of an existing application ecosystem.

The platform currently includes a Flutter mobile application, a Laravel backend and admin panel, Node.js/AdonisJS APIs, a Python recommendation service, Redis, MySQL, Nginx, and AWS S3.

This is not a greenfield development role. The primary objective is to audit the existing system, establish a reliable production infrastructure, integrate all services, migrate traffic safely, and complete the production launch.

Responsibilities

• Audit the existing Hostinger environment, source repositories, application dependencies, database, Redis configuration, and deployment process.

• Design a secure and maintainable production architecture for Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, AWS S3, and the Flutter application.

• Provision and configure Linux production servers, runtimes, SSH access, environment variables, permissions, SSL, and basic server security.

• Deploy and configure the Laravel application, admin panel, APIs, scheduled tasks, queues, and database connectivity.

• Deploy the Node.js/AdonisJS services with a reliable build, startup, logging, and process-management setup.

• Build a Git-based CI/CD pipeline for staging and production, including secrets management, deployment validation, and basic rollback handling.

• Configure Nginx as a reverse proxy and route traffic between Laravel and Node.js services using API versions and endpoint rules.

• Install and integrate Redis for agreed caching, queue, or session-management requirements.

• Configure AWS S3, IAM permissions, secure file access, and photo-upload integration to replace local server storage.

• Integrate the existing Python recommendation service with the Node.js backend, including timeout, retry, error-handling, and service-health scenarios.

• Support controlled migration of API traffic from Laravel to Node.js while preserving existing API contracts.

• Verify Flutter API compatibility, production environment configuration, authentication flows, media uploads, and backend-related integration issues.

• Conduct end-to-end, regression, and smoke testing across Flutter, Nginx, Laravel, Node.js, Redis, Python, MySQL, and AWS S3.

• Perform production cutover, validation, troubleshooting, and technical handover.

• Deliver clear architecture, deployment, routing, environment, rollback, and operational documentation.

Required Experience

• 5+ years of professional backend, DevOps, infrastructure, or platform-engineering experience.

• Strong hands-on Linux server administration and production deployment experience.

• Proven experience deploying and operating Laravel/PHP and Node.js applications.

• Strong knowledge of Nginx reverse proxy configuration, SSL, upstream services, and API routing.

• Experience creating CI/CD pipelines using GitHub Actions, GitLab CI, Bitbucket Pipelines, or a comparable platform.

• Practical experience with AWS S3, IAM permissions, secure media uploads, and cloud-storage integration.

• Experience with Redis, MySQL, background workers, queues, scheduled jobs, and application caching.

• Experience integrating Python services or machine-learning/recommendation APIs with Node.js applications.

• Good understanding of REST APIs, API versioning, authentication, secrets management, logging, monitoring, backups, and rollback procedures.

• Ability to independently investigate an existing codebase and resolve production integration problems.

• Strong written English and the ability to produce clear technical documentation.

Nice to Have

• Experience with AdonisJS.

• Experience supporting Flutter applications and mobile backend integrations.

• Experience migrating applications from shared hosting or Hostinger to a production cloud server.

• Experience with Google Maps Platform or location-based application services.

• Docker experience is helpful, although Kubernetes is not required.

Expected Deliverables

• Documented production architecture.

• Fully configured production infrastructure.

• Working Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, and AWS S3 integrations.

• Functional staging and production CI/CD workflows.

• Tested Laravel and Node.js coexistence with controlled API routing.

• Successful end-to-end production deployment.

• Rollback, deployment, configuration, and operational documentation.

Engagement Details

• Contract duration: approximately 4–5 weeks.

• Work arrangement: remote.

• Availability: candidates should be able to begin shortly and provide regular written progress updates.

• The current Node.js APIs and recommendation algorithm already exist. Major new product features, algorithm redesign, extensive Flutter feature development, and database redesign are outside the initial scope.

How to Apply

Please include:

1. Examples of Laravel and Node.js systems you have deployed to production.

2. Details of a CI/CD pipeline and Nginx routing setup you personally implemented.

3. Your experience integrating Redis, AWS S3, and Python services.

Job Title: Full Stack AI Engineer

Location: Remote/Hyderabad

Experience Level: 3-5

Salary Range: 12-18LPA

Application Link:https://beyond.ciltriq.com/apply/BUILD

Description:

Join a team building AI-powered systems that solve complex business problems and automate operational workflows across document processing, voice agents, enterprise integrations, workflow automation, and multi-agent systems.

Strong full-stack foundations: frontend state management, asynchronous user experiences and performance; backend API design, authentication, data modelling, databases, queues and distributed systems.

Strong coding ability in Python and JavaScript or TypeScript, with practical experience in modern frontend frameworks and backend services.

Requirements:

- Design and build complete systems: frontend applications, backend services, APIs, databases, data pipelines and integrations with customer systems.

- Build multi-agent workflows with clear agent responsibilities, tool access, shared state, context management, routing, handoffs and coordination across sequential and parallel tasks.

- Make agent execution dependable through durable state, checkpoints, retries, timeouts, idempotency, recovery and human approval or review where needed.

- Deliver document-processing pipelines, voice agents and retrieval-based AI applications, connecting model outputs to useful actions in real business workflows.

- Own quality in production: automated tests, AI evaluations, guardrails, observability, access controls, deployments, incident response and clear documentation.

- Choose where AI adds value and where deterministic software is the better fit. Balance accuracy, latency, cost, security and maintainability.

- Improve reusable engineering foundations, review code and help other engineers grow as the team expands.

- A solid understanding of tool calling, structured outputs, retrieval, context and memory management, model selection and evaluation.

- Practical cloud and deployment experience, including containers, CI/CD, secrets management, logging, monitoring and production debugging.

- Ability to reason from first principles, investigate failures across system boundaries and communicate technical decisions clearly to customers and teammates.

- Useful additional experience: Document AI and OCR, real-time voice systems, enterprise integrations, agent protocols such as MCP, and orchestration frameworks.

- Useful additional experience: Mentoring engineers or building reusable platforms.

About Us:

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Role :

A Software Engineer who builds the tools this company runs on. You build agent loops, and the loops build the solutions. You work towards a Company Brain that anyone here can ask.3–5 years’ experience · Reports to the CFO · 

THE KEY SKILL

You build the agent loops that build the solutions. You will not write every automation by hand. You build the loops that

write them. Ship a prototype every week. You ship something every day.

You’ll be building a Company Brain with access control. One system that holds what the company knows about finance,delivery and people. Anyone can ask it a question. Each person sees only what they are cleared to see.

One hard filter. If you cannot write and debug production code, and have not done it before, please do not apply.

CORE RESPONSIBILITIES

• Work the backlog: You pick items off a live, ranked backlog. You learn each function by building inside it. There is no discovery phase. What you learn goes back into the backlog and changes what comes next.

• Build the product: You design, build and ship tools that people use every day. Reconciliation, MIS, the deal desk,quote to cash, or whatever the real bottleneck turns out to be. You choose the tools and frameworks.

• Wire the data: Connect the systems each team already uses, so that the same number means the same thing everywhere.

• Make it visible: You build live dashboards and alerts that leaders read on their own, instead of asking someone for a report.

• Keep it running: You own uptime and accuracy for everything you build. Anything that touches money or people needs a person in the loop.

THE STACK

• Build with: Python and TypeScript. You write production code. Frontier model APIs from Anthropic, OpenAI or Google, with tool calling and structured output. At least one agent framework. MCP to connect agents to internal systems.Postgres and pgvector, or something similar, for retrieval. You deploy on GCP, and you debug your own work.

• Work in agents daily: Claude Code, Cursor or something like them, as the way you write code every day. You should have a clear view on how to run the loop, and on when a person has to step in.

• Connect to: The systems we already run on for accounting, CRM, hiring and IT support, along with Google Workspace.Most of the work is getting them to agree with each other.

• Check what you ship: Anything that produces a number needs a way to catch it going quietly wrong. Test sets, regression checks, and alerts on the output as well as on the job.

WHAT GOOD LOOKS LIKE

• Something you built is running by week two, and someone is using it.

• By day 90, time spent on reconciliation or reporting is down by a number you can defend to the CFO.

• Every tool you ship has a named owner who is still using it 60 days later. That is the measure that counts.

• Leaders stop asking for numbers, because they can already see them.

• By the end of your first year, a first version of the Company Brain answers real questions about Finance, and each

person who asks sees only what they are cleared to see.

WHO THIS IS FOR

• You have built products: 3 to 5 years at a software product company, on a product with real users at scale. That means 100k+ monthly active users, or heavy daily use by a large enterprise customer base. You have owned code in production, in front of real users, long after it shipped.

• You ship alone: You are comfortable as the only engineer in the room, and the only person on call for what you built.

• You work out new ground fast: A domain you do not know is interesting to you. You start without waiting for a spec or an expert.

• You are fluent with agents: One person cannot cover a whole company by hand. You use agent loops heavily and youare good at it.

• You write and speak clearly: Half this job is pulling a process out of a finance or delivery lead and giving it back to them correctly. You work remotely, so this matters a great deal.

HOW WE WILL ASSESS

• A design problem: Live. We give you a function of the B2B company, and you design the system for it. We watch how you break down a domain you do not know, how you size it, and what you leave out on purpose.

• A build exercise: Live and screen-shared, on your own setup, with your own agents. You build the way you normally build. We watch how you run the loop, when you step in, and what you decide to skip.

• Your work and your questions: We talk about what you have shipped before. You ask us whatever you want.

Communication is not a separate round. All three sessions are live, and how clearly you explain your thinking is part of how we judge you.

WHERE IT LEADS

You report to the CEO and CFO from your first day. Your charter covers the whole company. Nothing sits between you and production. Very few engineering jobs offer all three at once, and that is why this one exists.

In 18 months you will know how this company really runs: the data, the money, and the gaps between teams. The rolethen changes shape to fit whatever the biggest open problem is by then.

Job Description

Job Title: Sales Representative – IT / B2B SaaS

Location: Mumbai, India (Hybrid / On-site)

Employment Type: Full-time

Experience Level: 3+ Years

Department: Sales & Business Development

About the Role

We are seeking an ambitious, results-driven Sales Representative with a proven track record in B2B IT / SaaS Sales to join our team in Mumbai. In this role, you will manage end-to-end sales cycles — driving outbound prospecting, qualifying inbound leads, conducting product demonstrations, and closing deals. If you are proactive, thrive in a target-driven environment, and excel at translating technical value into clear business ROI for decision-makers, we'd love to connect.

This role requires hands-on field sales experience — you should be comfortable meeting clients in person, conducting on-site visits, and closing deals face-to-face in addition to remote/virtual selling.

Key Responsibilities

• Pipeline Generation & Prospecting: Execute strategic outbound outreach (cold emailing, LinkedIn networking, cold calling, and in-person field visits) targeting mid-market and enterprise decision-makers (CTOs, CIOs, Heads of Sales/Marketing, Founders).
• Inbound Lead Conversion: Promptly engage, qualify, and convert marketing-generated inbound leads into active sales opportunities.
• Product Discovery & Demo: Conduct consultative discovery calls and on-site/in-person product walkthroughs to identify prospect pain points and deliver tailored demos.
• Field Sales & Client Visits: Travel for client meetings, site visits, and relationship-building activities within Mumbai and surrounding regions as required.
• Negotiation & Closing: Build commercial proposals, lead contract negotiations, manage objection handling, and consistently close deals to meet/exceed quarterly quota targets.
• CRM & Pipeline Hygiene: Maintain accurate and up-to-date records of all deals, activities, and forecasts in the CRM (e.g., HubSpot / Salesforce).
• Market Feedback: Work closely with Marketing and Product teams to share customer feedback, competitive insights, and market trends.

Key Qualifications & Skills

• Education: B.Tech / B.E. graduate is mandatory. (A technical/engineering background helps in translating product capability into client-facing business value.)
• Experience: Minimum 3+ years of direct selling experience in B2B Tech / IT Services / SaaS, with demonstrated field sales exposure (on-site client visits, in-person demos/negotiations — not purely remote/inside sales).
• Proven Track Record: Demonstrated history of consistently meeting or exceeding individual sales quotas and pipeline generation targets.
• Sales Acumen: Strong grasp of consultative and solution-selling methodologies (e.g., MEDDPICC, BANT, SPIN).
• Communication: Exceptional verbal, written, presentation, and active listening skills.
• Mindset: Highly self-motivated, resilient, comfortable with ambiguity, willing to travel locally for client meetings, and able to work independently.
• Location: Based in or willing to relocate to Mumbai.

About Reconect.ai

Reconect.ai is an AI-powered customer engagement and debt collection platform helping lenders, NBFCs and fintech companies automate customer interactions through conversational AI.

Our AI agents enable enterprises to automate use cases across collections, customer support, lead qualification and customer engagement using voice and digital channels.

Role Overview

We are looking for a Sales Associate who is driven, curious and comfortable with outbound sales. You will work closely with the leadership and sales team to identify potential customers, initiate conversations with decision-makers and build a strong sales pipeline.

This is a high-ownership role where you will get exposure to B2B SaaS sales, Conversational AI, FinTech and enterprise sales.

Key Responsibilities

• Identify and research potential customers across NBFCs, banks, fintechs and lending companies
• Build and maintain a strong prospect pipeline through outbound channels
• Conduct prospecting through LinkedIn, email, calls and other channels
• Connect with CXOs, business heads, collections heads, customer experience teams and other relevant decision-makers
• Understand prospect requirements and identify relevant use cases for Reconect.ai
• Schedule product demos and meetings for the sales team
• Follow up consistently with prospects and move opportunities through the sales funnel
• Maintain accurate prospect and activity information in CRM
• Work closely with the sales and leadership team on account research, proposals and follow-ups
• Track outreach metrics and continuously improve conversion rates
• Stay updated on Gen AI, Conversational AI, FinTech and lending industry trends

What We’re Looking For

• 1–3 years of experience in B2B sales, inside sales, business development or SaaS sales
• Strong communication and interpersonal skills
• Comfortable with cold calling, LinkedIn outreach and email prospecting
• Ability to speak confidently with senior stakeholders
• Strong research and prospecting skills
• Highly driven and comfortable working with targets
• Good follow-up and relationship-building skills
• Ability to understand technology products and explain their business value
• Experience selling SaaS, FinTech, Gen AI or enterprise technology will be an advantage

What You’ll Get

• Opportunity to work closely with the founding team
• Exposure to AI, SaaS and FinTech
• Hands-on experience in enterprise sales and GTM
• High ownership and fast career growth
• Opportunity to work with leading lending and financial services companies
• Performance-driven compensation and incentives

Ideal Candidate

You should be someone who enjoys talking to people, opening new conversations and converting prospects into opportunities. If you are hungry to learn, comfortable with targets and excited about selling AI products, this role is for you.

Job Title : SDE 3 – Infrastructure Platform Engineer

Experience : 5.5 to 8.5 Years

Number of Positions : 2

Employment Type : C2H (Contract to Hire)

Work Mode : Remote during contractual period → 5 Days WFO after conversion

Contract Duration : 3 Months

Post-Conversion Location : Pune

Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred

(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)

Role Overview :

We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.

The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.

Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.

Key Responsibilities :

• Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
• Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
• Manage and optimize Docker and Kubernetes workloads.
• Build internal platform tools to improve developer productivity and engineering efficiency.
• Implement monitoring, logging, alerting, and observability solutions.
• Participate in incident response, RCA, postmortems, and reliability improvements.
• Design and improve CI/CD pipelines and deployment automation.
• Contribute to system design, architecture discussions, scalability, security, and cost optimization.
• Collaborate with application, data, and product engineering teams.

Required Skills :

• 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
• Strong hands-on experience with AWS, GCP, or Azure.
• Strong expertise in Terraform / CloudFormation.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong programming skills in at least one of:
• Python, Go, Java, or Ruby.
• Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
• Experience working with production infrastructure and highly available systems.
• Strong troubleshooting and problem-solving skills.

Nice to Have :

• Experience with SRE practices and production on-call ownership.
• Experience in fintech, payments, banking, or transaction-heavy systems.
• Knowledge of cloud security, compliance, or FinOps/cost optimization.
• Experience building internal developer platforms or productivity tools.
• Previous product company experience.

Interview Process :

Round 1 : Take-Home Coding Assignment – Submit within 48 hours

Round 2 : Coding Assignment Discussion – 1 Hour

Round 3 : Technical Managerial Round – 30 Minutes

Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.

Ideal Candidate :

Strong Platform / Infrastructure Engineer with hands-on experience in :

Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations

Pure DevOps profiles without strong coding and platform engineering experience are not preferred.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

 We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

 We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

 We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

 We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

This is a remote position.

Experience Level

This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.

We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.

What You’ll Do as a Software Craftsperson

•     Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.

•     Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.

•     Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.

•     Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.

•     Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.

•     Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.

•     Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.

•     Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.

Requirements

What You’ll Bring

3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.

Must-Have Skills

•     Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.

•     TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.

•     Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.

•     Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.

•     Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.

•     Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.

Good-to-Have Skills

•     AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.

•     LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.

•     Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.

•     Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.

•     Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat — with all travel expenses covered.

Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.

Perks

•     Dedicated learning & development budget

•     Sponsorship for conference talks

•     Comprehensive medical & term insurance

•     Employee-friendly leave policies

•     Home Office fund

•     Medical Insurance

Job Description:

We are looking for an experienced Oracle Field Service Management Consultant with a strong background in Supply Chain Management (SCM) and hands-on experience delivering Oracle Field Service Management implementations.

Key Requirements:

• 6+ years of overall experience inSupply Chain Management (SCM).
• Hands-on experience withOracle Field Service Management.
• Experience working onat least 2 Oracle Field Service Management projects.
• Strong understanding of SCM processes and business requirements.
• Experience in implementation, configuration, testing, and support activities.
• Strong communication and stakeholder management skills.

Full Stack Developer — Node.js & React

Experience: 4-5 years

Employment Type: Permanent, Full-time

Desired Skill: Node, React, AWS, Typescript, GraphQL APIs

Work Mode: Remote

Availability: Immediate Joiners

We are looking for a Full Stack Developer to implement functional features and resolve production support and on-call tickets. You will build GraphQL APIs, UI screens, and integrations based on defined requirements and designs.

Responsibilities

• Develop and maintain features using Node.js, TypeScript, React, and Next.js.
• Build GraphQL APIs, database integrations, and backend workflows.
• Investigate support issues, identify root causes, and deliver reliable fixes.
• Write automated tests and collaborate with product, design, and engineering teams.

Required skills

• Strong experience with Node.js, Express, TypeScript, React, GraphQL, and PostgreSQL.
• Strong analytical, troubleshooting, and debugging skills across frontend and backend systems.
• Familiarity with automated testing and AWS environments.

Our stack

React SPA (Vite), Next.js, MUI, React Router, urql, tRPC; PostGraphile, slonik, graphile-worker, Temporal; PostgreSQL and DynamoDB; Storybook, Vitest, Cypress; AWS and Terraform.

• SharePoint 2019 solutions – Knowledge
• Out Systems applications
• .NET applications -Mandatory
• SQL Server databases
• Windows Server and IIS deployments- Mandatory 
• Application troubleshooting and production support -Mandatory
• Security vulnerability remediation
• SonarQube code quality analysis -Mandatory
• Release deployment validation and technical troubleshooting -Mandato

Job Title: Technical Delivery lead – Full stack

Experience:

·       12+ years overall

·       5+ years as Technical Delivery lead

Position Summary

We are looking for an experienced Technical Delivery Lead with 12+ years of software development experience to lead the design, development, integration, deployment, and support of enterprise digital solutions. The ideal candidate should have strong hands-on technical expertise and be capable of actively contributing to development by designing and implementing complex features, integrations, and critical business functionalities while leading the cross-function team.

Key Responsibilities

Technical Leadership

·      Lead end-to-end application delivery from requirements gathering through production deployment.

·      Define solution architecture, technical standards, and development best practices.

·      Conduct design reviews, code reviews, and technical discussions.

·      Mentor development teams and provide technical guidance.

·      Collaborate with business stakeholders, architects, product owners, and project managers.

Hands-on Development

·      Actively participate in application development and contribute code for complex and critical features.

·      Design and implement scalable solutions for high-priority business requirements.

·      Lead troubleshooting and resolution of complex technical and production issues.

·      Review and optimize application performance, security, and scalability.

·      Support development teams in resolving technical blockers and challenges.

Required Technical Skills

·      Sitecore XP/XM

·      OutSystems

·      Node.js, .NET Core, ASP.NET MVC, C#, Java

·      React.js, JavaScript, TypeScript

·      REST APIs, Microservices Architecture

·      SQL Server, Oracle, MySQL

·      Azure/AWS, CI/CD, Docker, Jenkins, Git

Candidate Profile

·      12+ years of software development experience.

·      5+ years of experience as Technical Delivery Lead or Solution Lead.

·      Strong hands-on coding experience with the ability to independently deliver complex technical solutions.

·      Experience leading Agile teams and managing end-to-end delivery.

·      Excellent stakeholder management and communication skills.

Key Phrase

Hands-on Technical delivery Lead who is expected to contribute 30-40% of the time in coding based on the availability, solution implementation, code reviews, and complex technical problem-solving.

Backend Engineer - Oddr

About Oddr

Oddr is a modern enterprise platform purpose-built for professional services firms. We handle the financial nervous system of some of the world's most demanding clients - invoicing, payments, and revenue intelligence at scale. Our systems process high-stakes, high-volume financial workflows where correctness and reliability are non-negotiable. We're a small, senior-leaning team. Engineers here own systems end to-end, make real architectural decisions, and ship things that matter.

The Role

This is a deep, hands-on individual contributor role. You'll be working on the core backend platform - designing APIs, building scalable workflows, hardening infrastructure, and setting the technical bar for the team around you. You won't be managing people, but you'll naturally

raise everyone's game through code reviews, technical guidance, and the quality of your own work. If you thrive in environments with high ownership, low bureaucracy, and genuinely hard problems, this is the role for you.

What You'll Do

Core Platform Development

Design and build reliable, scalable backend systems using .NET Core. Architect RESTful APIs and business workflow orchestration that hold up under real enterprise load. Make considered tradeoffs between correctness, performance, and maintainability.

Cloud & Infrastructure

Own backend services on Microsoft Azure - app services, databases, messaging, storage, and access management. Work closely with DevOps to improve deployment pipelines and infrastructure reliability.

CI/CD & DevOps Collaboration

Support and improve CI/CD pipelines for fast, safe deployments. Bring a production-minded perspective to automation, rollback strategies, and release confidence.

Security & Compliance

Proactively embed security into the development process - secure coding practices, data protection, access controls, and compliance awareness relevant to enterprise financial systems.

Quality & Observability

Set standards for testing (unit, integration, e2e), code review, and observability. You should care deeply about knowing when things break before customers do.

Technical Mentorship

Unblock engineers around you. Share context, raise the quality of code reviews, and help the

team develop good engineering intuition - without needing a management title to do it.

What We're Looking For

Required

• 6 -10 years of backend engineering experience with strong depth in .NET Core.

• Solid understanding of RESTful API design, service architecture, and distributed systems.

• Strong relational database skills - schema design, query optimization, indexing (PostgreSQL or SQL Server)• Security-conscious mindset with practical experience applying secure coding practices

• Ability to operate independently in a fast-moving, ambiguous environment

Strong Plus

• Experience with multi-tenant SaaS architecture and tenant isolation patterns

• Hands-on experience with Microsoft Azure (App Services, SQL, Service Bus, Key Vault, etc.)

• Experience with CI/CD tooling and deployment automation

• Background in financial systems - payments, invoicing, reconciliation, audit trails

• Exposure to event-driven architecture, background job processing,and async workflows.

• Prior experience in a tech lead, staff engineer, or equivalent hands-on senior role.

What We Offer

• Competitive salary and benefits

• A small team where your decisions actually shape the product

• Hard problems worth solving - no ticket-factory work

• Flexibility and trust to get things done your way

Golang Developer

Experience: 6-8 years

Employment Type: Contractual, Full-time

Desired Skill: Golang, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

This is the contractual opportunity on a full time basis.

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in either Java or Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

Job Description

• Lead Ecommerce Solution Design and Development: Spearhead the design and development of scalable, secure, and high-performance solutions for our ecommerce platform using Java Spring Boot.
• Collaborate with Cross-Functional Teams: Work closely with product managers, UI/UX designers, and quality assurance teams to gather requirements and deliver exceptional ecommerce solutions.
• Architectural Oversight: Provide architectural oversight for ecommerce projects, ensuring they are scalable, maintainable, and aligned with industry best practices.
• Technical Leadership: Lead and mentor a team of Java developers, fostering a collaborative and innovative environment. Provide technical guidance and support to team members.
• Code Review and Quality Assurance: Conduct regular code reviews to maintain code quality, ensuring adherence to Java Spring Boot coding standards and best practices. Implement and promote quality assurance processes within the development lifecycle.
• Integration of Ecommerce Solutions: Oversee the seamless integration of ecommerce solutions with other business systems, ensuring a cohesive and efficient data flow.
• Payment Gateway Integration: Collaborate on the integration of payment gateways and other essential ecommerce functionalities.
• Stay Informed on Ecommerce Technologies:Stay abreast of the latest developments in ecommerce technologies, incorporating new features and improvements based on emerging trends.
• Client Interaction:
• Engage with clients to understand their ecommerce requirements, provide technical insights, and ensure the successful implementation of solutions.

Desired Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of software development experience, with a significant focus on Java Spring Boot development and ecommerce platforms.
• Proven expertise in designing and developing ecommerce solutions using Java Spring Boot, with a deep understanding of the framework.
• Familiarity with ecommerce platforms, including payment gateways, inventory management, and order processing.
•  Strong proficiency in Java and Spring Boot technologies, with experience in microservices architecture.
• Java 8 or above latest version hands on
•  Microservices architecture, Spring boot REST hands-on (min 3 yrs experience mandatory)
•  Well versed with at least one cloud- AWS/GCP/Azure (min 2 yrs experience mandatory)
•  Kubernetes, Docker, Containerisation (Mandatory)
•  Kafka, RabbitMQ, etc
•  MySQL, MongoDB, PostgreSQL or any 1 RDBMS and 1 NoSQL DB hands on experience  
•  Experience with any in-memory caching mechanism like Redis. Hazelcast, etc
• Good understanding of DSA and their applications
• Excellent problem-solving skills, showcasing the ability to address complex challenges in ecommerce solution development.
• Strong communication skills to facilitate effective interactions with team members, clients, and other stakeholders.
• Experience working with Agile methodologies and advanced proficiency in version control systems.

Job Description:

• Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
• CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
• Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
• Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
• Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
• Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
• Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.

Qualifications: 

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 7-9 years of overall experience with relevant experience of at least 5 years in DevOps and served as a lead or senior engineer.

Job Description

• Lead Custom Odoo Application Design and Development: Provide leadership in designing and developing custom Odoo applications, ensuring alignment with business requirements and scalability.
• Collaborate Across Teams: Foster effective collaboration with cross-functional teams, including business analysts, project managers, and quality assurance, to identify and implement innovative solutions.
• Manage Odoo Application Lifecycle: Oversee the complete lifecycle of Odoo applications, from initial design and development to ongoing maintenance and upgrades for optimal performance.
• Technical Issue Resolution: Take a proactive role in troubleshooting and efficiently resolving technical issues during development and maintenance phases to ensure a seamless user experience.
• Mentor and Develop Team: Lead and mentor a team of developers, fostering their growth and development within the Odoo development domain.
• Stay Current with Odoo Framework Advances: Stay abreast of the latest developments in the Odoo framework and related technologies, incorporating new knowledge into ongoing projects.
• Drive Innovation and Best Practices: Champion innovation and best practices in Odoo development, driving the adoption of efficient and effective methodologies within the team.
• Client Interaction: Engage with clients to understand their business requirements, provide technical insights, and ensure the successful delivery of Odoo solutions.

Desired Skills:

• Bachelor’s degree in a related field or Computer Science.
• Minimum of 7 years of experience in software development, with a substantial focus on Odoo development.
• Strong proficiency in Python, XML, and SQL, showcasing advanced technical skills in designing and developing robust Odoo solutions.
• Proven leadership skills, with the ability to lead and mentor a team of developers effectively.
• Excellent problem-solving skills, demonstrating an ability to address complex challenges independently or collaboratively.
• 3wedStrong communication skills to facilitate effective interactions with team members, clients, and other stakeholders.
• Experience working with Agile methodologies and advanced proficiency in Git version control.

Laravel Developer – Education ERP

Experience: 1.5–2.5 Years

Employment Type: Full-Time

Location: Remote

About the Role

We are looking for a Laravel Developer with strong, hands-on experience in the Laravel framework. Experience with EdTech, Education ERP, LMS, or School/College Management Systems is a strong plus.

The ideal candidate should be comfortable working within an existing Laravel codebase — understanding models, migrations, and relationships — while building new modules, fixing bugs, and extending APIs for our Education ERP platform.

Key Responsibilities

•     Develop, maintain, and enhance web applications built on the Laravel framework.

•     Build and consume RESTful APIs using Laravel, including authentication via Sanctum or Passport.

•     Develop and maintain modules/features for Education ERP and EdTech applications.

•     Fix bugs, debug production issues, and troubleshoot data-related problems.

•     Integrate third-party APIs and services when required.

•     Coordinate with senior developers and other teams to understand requirements and deliver assigned tasks on time.

•     Maintain technical documentation for developed features where required.

Required Skills

•     Strong, hands-on experience with the Laravel Framework

•     Solid Core PHP (OOP concepts) as a foundation.

•     Good understanding of MySQL / SQL, including joins, aggregation, and query optimization.

•     Understanding of database design, relationships, and Eloquent model associations (one-to-many, many-to-many, polymorphic, etc.).

•     Experience building REST APIs in Laravel and integrating Laravel Sanctum/Passport for auth.

•     Working knowledge of HTML, CSS, JavaScript, and jQuery for front-end integration.

•     Familiarity with Composer and Laravel's package ecosystem.

•     Basic knowledge of Git/version control.

•     Good debugging and problem-solving skills, with the ability to read and extend an existing Laravel codebase.

Preferred Experience

Candidates with experience in any of the following domains will be preferred:

•     EdTech

•     Education ERP

•     School Management System

•     College/University Management System

•     LMS

•     Admission Management

•     Fee Management

•     Examination Management

•     Student Management

•     HRMS

•     Finance/Accounting modules

Education

•     B.Tech / B.E. – Computer Science / IT

•     BCA / MCA

•     Any equivalent qualification with relevant Laravel development experience.

What We Are Looking For

•     Genuine interest in and preference for working with Laravel over plain PHP frameworks.

•     Strong willingness to learn and grow within the Laravel ecosystem.

•     Good logical and analytical skills.

•     Ability to work independently on assigned tasks.

•     Good communication and teamwork.

•     Ability to work with databases and troubleshoot data-related issues.

•     Candidates who can understand business requirements as well as technical implementation will be preferred.

Quality Assurance Engineer

Location: Remote

Experience: 9–12 Years

Notice Period: Immediate Joiner only

JD:

API Testing: Postman/Swagger

Test Management & Defect Tracking: Jira, Test Director, TFS, Quality Center

Database Testing: SQL (Query Writing & Validation)

Domain Knowledge: US Healthcare Systems, HIPAA, HL7

Methodology: Agile (Scrum)

Customer Success Manager Intern — Jinn AI

With opportunity to convert into a full time role

Location: Bengaluru / Remote

Duration: 3–6 months

About Jinn AI

Jinn AI is building AI-powered conversation intelligence solutions that help businesses understand, improve, and automate customer conversations.

What You’ll Do

• Work closely with customers to understand their needs and help them get value from Jinn AI.
• Support onboarding, product adoption, and day-to-day customer success.
• Track customer feedback, issues, and requests, and coordinate with the product/engineering teams.
• Analyze customer usage and identify opportunities to improve engagement and retention.
• Prepare customer reports, insights, and regular business reviews.
• Help build scalable customer success processes and documentation.

What We’re Looking For

• Strong communication and interpersonal skills.
• Highly organized, proactive, and comfortable taking ownership.
• Good analytical and problem-solving ability.
• Comfortable working with Excel/Google Sheets and learning new tools quickly.
• Interest in SaaS, AI, startups, and working directly with customers.
• Prior internship/project experience in customer success, operations, consulting, sales, or analytics is a plus.

Internship Stipend: 15k - 25k/month

What you’ll get: Hands-on experience working with real customers, exposure to AI/SaaS, and the opportunity to work closely with the founding team in a fast-growing startup.

Experience: 4–15 Years

Frontend: HTML5, CSS3, Bootstrap, Angular, jQuery, AJAX, Tailwind CSS, PrimeNG

Backend: Java, Spring MVC/Spring Boot, Microservices, REST APIs

Database: SQL, PostgreSQL, DB2

Tools: Jira, Git, IntelliJ IDEA

Shopify Growth Lead

Location: Hybrid Type: Full-time Experience: 5-6 years 

About NapChief

NapChief is a fast-growing D2C kidswear brand. We sell through our own website (napchief.com) and all major marketplaces including Myntra, FirstCry, and Amazon. At Nap Chief, we're redefining kids' wear for a new generation of parents. We craft premium, super-soft clothing that kids love to wear and parents trust.Our mission is to empower the young generation and we are looking for you to join forces with us to conquer this mission. 

About the role

You will own the website business end-to-end: revenue, profitability (CM2), merchandising, conversion, retention, and the promotional calendar. Everything that determines whether napchief.com grows profitably sits with you. You operate it like your own store, working through a junior team and in partnership with the performance marketing lead.

Responsibilities

Revenue and P&L ownership

• Own monthly and quarterly website revenue targets and CM2 (contribution margin) targets. Build the revenue plan: traffic × conversion × AOV × repeat rate, and manage every lever in it.
• Report weekly on revenue performance, drivers, and corrective actions in the business review.

Merchandising and launches

• Own the site merchandising calendar: new collection drops, product launches, collection pages, bestseller placement, and catalog presentation.
• Plan launches for a seasonal kidswear line — winter-weight and summer-weight assortments, size runs, and gifting windows — jointly with the fashion buyer so demand plans are backed by inventory.
• Own pricing and offer architecture on the website: bundles, sets, first-purchase offers, and price-point strategy.

Promotions and sale events

• Own the full sale calendar: festive-season events, end-of-season sales, and campaign-led promotions.
• Design promotion mechanics (tiered offers, bundles, category-level discounts) that deliver revenue spikes while protecting contribution margin — moving beyond blanket sitewide discounting.
• Run each event end-to-end: stock planning with the buyer, site preparation, communication plan across email/WhatsApp/ads, live monitoring, and post-event P&L review.

Retention and CRM

• Own the full repeat-purchase system: email, WhatsApp, and SMS marketing — segmentation, campaign calendar, and automated flows (welcome, post-purchase, replenishment/size-up, winback, abandoned checkout).
• Own cohort retention and LTV: track repeat rates by cohort, diagnose drop-offs, and build programs that bring customers back as their kids grow into the next size.
• Own the post-purchase experience on the website side: order communication, review collection, and the "how did you hear about us" survey program.

Conversion rate and AOV

• Own funnel performance: landing pages, collection pages, PDPs, cart, and checkout. Run a continuous, prioritized testing program.
• Own AOV programs: bundling, upsells, cross-sells, and free-shipping thresholds.
• Own the Shopify tech stack: app selection, site speed, search and navigation, and theme-level improvements (directing developers/tools as needed).

Performance marketing partnership

• Allocate acquisition budgets to the performance marketing manager based on the revenue plan; review return jointly every week. You are mutually accountable — their new-customer numbers feed your revenue targets.

Analytics and team

• Maintain the website dashboard: conversion, AOV, repeat rate, cohorts, CM2 by category — the numbers leadership reviews weekly.
• Manage and develop the junior team (marketing executives and performance associates), setting their weekly plans and reviewing output.

KPIs you own

• Website revenue vs plan
• CM2 (contribution margin) on website business
• Conversion rate, AOV, repeat purchase rate / LTV
• Sale-event revenue and margin outcomes

Requirements

• 5-6 years in D2C with recent, hands-on revenue ownership — you have grown a store's numbers yourself, with results you can quantify and defend. "Worked at a D2C brand" in a coordination or support role does not qualify.
• Fluency across the Shopify ecosystem: storefront, apps, analytics, and CRM/marketing tools (Klaviyo or equivalent email platform; WhatsApp marketing tools).
• Strong analytical grounding: cohort analysis, funnel metrics, unit economics, and margin math are daily working tools for you.
• Experience planning and running sale events with P&L accountability.
• Experience getting work done through a junior team — this role is an enabler, not a solo contributor.
• Background in a growing brand or startup environment, where targets moved and you moved with them.

ROLE SUMMARY:

In this role, you will be responsible for supporting people, technical processes, and engineering execution to ensure projects are delivered as per scope, budget, and timelines.

This role includes developing detailed project plans and comprehensive technical documentation, managing project Engineers and their availability, measuring engineering performance, tracking progress, and communicating project status to clients and internal stakeholders. You will work directly with Solutions Architects, Tech Leads, and Engineering teams to evaluate technical trade-offs, drive system design feasibility, and unblock engineering bottlenecks.

You will be a reliable and crucial team member who can anticipate client needs and translate complex technical requirements into actionable project milestones.

As a Technical Project Manager, you will be the point of contact for all stakeholders from initiation to closure and will be responsible for leading the technical delivery team to achieve project objectives. You will work towards balancing technical constraints, technical debt, and Engineer availability on the project. You will report project status to client and internal stakeholders, escalate technical and operational issues as needed, and perform risk management to identify and mitigate architectural and delivery risks while maintaining strong advocacy within your spheres of influence.

QUALIFICATIONS:

Technical Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience and a prior background as a Software Engineer, Tech Lead, or Developer.

Strong expertise in Agile methodologies (Scrum/Kanban).

Must have handled end-to-end SDLC projects as a Technical Project Manager or Scrum Master.

WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

Handle a portfolio of technical projects and clients in parallel and across geographies.

Develop an execution plan for projects, release schedules, CI/CD milestones, and team allocation.

Partner with technical leads to review high-level system designs, break down complex requirements into epics and user stories, and challenge technical estimates effectively.

Maintain strong relationships with product delivery, engineering leads, sales teams, clients, and account managers.

Expertise in project estimation, planning, tracking, scope control, technical risk and issues management, as well as engineering status reporting.

GOOD TO HAVE:

Hands-on or architecture exposure to.NET/Java/AWS/Azure or microservices architectures.

PMP / PMI-ACP / CSM (Certified ScrumMaster) certification.

Jira/Confluence project management tools expertise, Git workflows, and strong working knowledge of Microsoft Office.

COMPETENCIES:

Strong commitment to professional client service and engineering excellence.

Excellent communication (written, verbal, and presentation), persuasive, and negotiating skills—with the ability to bridge technical and non-technical stakeholders.

Encourage, motivate, and mentor team members on agile practices and technical ownership.

Proactive can-do and technical problem-solving approach to the job.

Regards

Source suitable candidates through LinkedIn, Naukri, job portals, referrals, and social media.

Screen resumes and conduct initial telephonic/HR interviews.

Understand hiring requirements and identify candidates matching the job criteria.

Schedule and coordinate interviews with hiring managers.

Maintain regular follow-ups with candidates throughout the recruitment process.

Handle end-to-end recruitment, from sourcing to candidate joining.

Negotiate salary and communicate offer details to selected candidates.

Maintain candidate databases, recruitment trackers, and hiring reports.

Build a strong talent pipeline for current and future requirements.

Ensure a smooth and positive candidate experience.

Head of Sales – Job Description

Experience: 12–18 Years

Salary: Up to ₹15 LPA (Based on experience) + Performance Incentives

Location: Remote / Work From Home

Working Days: 6 Days per Week

Industry Experience: Minimum 5–6 years in EdTech Sales preferred

Team Size: Proven experience managing 30–40+ sales professionals

About Us – The Language SKOOL (TLS)

The Language SKOOL (TLS) is one of India's leading online foreign language learning platforms, with over a decade of excellence in transforming careers through language education. We offer professional training in German, Japanese, French, Korean, Spanish, and Chinese, helping learners unlock global opportunities.

At TLS, we believe language skills are the gateway to international careers, higher education, and personal growth. Our mission is to make world-class language learning accessible, engaging, and career-oriented.

Role – Head of Sales

We are looking for an exceptionally strong, experienced, and result-oriented Head of Sales to lead our entire sales function and drive significant business and revenue growth.

This is a senior leadership position for a highly experienced sales professional who understands not only how to manage sales teams, but also how and where to generate business, build sales strategies, increase revenue, solve problems, and create a high-performance sales organisation.

The Head of Sales will be responsible for managing multiple layers of sales leadership, including Sales Managers, Team Leaders, and large teams of Sales Executives/Counsellors. The ideal candidate must have proven experience in managing leaders and building a strong leadership pipeline.

We are looking for someone with deep sales expertise, strong business acumen, excellent leadership skills, strong industry understanding, and the ability to take complete ownership of sales numbers and business growth.

Key Responsibilities

Sales Strategy & Business Growth

• Own the overall sales strategy, revenue targets, sales planning, and execution for the organisation.
• Develop and implement short-term and long-term sales strategies to achieve aggressive business-growth objectives.
• Identify where and how new business can be generated, including new channels, markets, partnerships, customer segments, and business opportunities.
• Continuously explore new avenues to increase business, revenue, conversions, and market reach.
• Develop strategies to ensure the sales team works effectively and consistently delivers against its targets.
• Take complete ownership of increasing sales and driving sustainable business growth.
• Identify opportunities to improve existing revenue streams and develop new sources of business.
• Use industry knowledge, market understanding, professional networks, and business connections to identify potential growth opportunities.

Leadership & Team Management

• Lead, manage, mentor, and scale a 30–40+ member sales organisation.
• Manage and develop a strong second line of leadership, including Sales Managers, Team Leaders, and other sales leaders.
• Ensure Sales Managers and Team Leaders are effectively managing their respective teams and delivering their targets.
• Build a strong leadership pipeline by identifying, mentoring, and developing high-potential employees.
• Set clear expectations, targets, accountability, and performance standards for all levels of the sales organisation.
• Create a high-performance culture focused on ownership, accountability, discipline, and consistent target achievement.
• Coach and guide sales leaders to improve team productivity, conversions, revenue, and overall performance.
• Ensure that managers and leaders have the right strategies, resources, and direction to make their teams successful.

Target Achievement & Performance

• Set and monitor daily, weekly, monthly, and quarterly sales targets.
• Ensure that the entire sales organisation consistently meets and exceeds its revenue targets.
• Analyse team and individual performance and immediately identify gaps affecting business performance.
• Create effective strategies to improve productivity, conversion rates, collections, and revenue.
• Establish performance frameworks and ensure strict accountability across the sales hierarchy.
• Develop and implement performance improvement plans wherever required.
• Ensure that every sales leader understands their numbers and has a clear action plan to achieve them.

Problem Solving & Decision Making

• Act as the key problem-solver for the sales organisation.
• Be capable of understanding problems quickly and providing practical solutions on the spot.
• Identify the root causes of sales, team, conversion, productivity, or process-related challenges and take immediate corrective action.
• Guide Sales Managers and Team Leaders in handling difficult situations and achieving their targets.
• Make quick, effective, and commercially sound decisions when business challenges arise.
• Take ownership of problems rather than waiting for other teams to resolve them.

Sales Process & Analytics

• Drive the complete sales funnel — lead generation, qualification, counselling, conversion, collections, and retention.
• Analyse sales data, conversion ratios, productivity, CAC, revenue, collections, pipeline, and other key sales metrics.
• Develop effective sales processes, SOPs, forecasting systems, incentive structures, and performance frameworks.
• Ensure effective utilisation of CRM and sales technology across the organisation.
• Establish high standards of sales discipline, reporting, process adherence, and execution.
• Own sales forecasting and provide accurate revenue projections to senior management.

Cross-Functional Collaboration

• Work closely with Marketing, Operations, Product, and Management teams to improve lead quality, customer experience, and overall conversion.
• Provide clear feedback to Marketing regarding lead quality and business-generation opportunities.
• Collaborate with other functions to identify and remove bottlenecks affecting sales growth.
• Represent the sales function in strategic business discussions and provide data-driven recommendations to management.

What We Are Looking For

• 14–18 years of overall professional experience, with the entire career primarily focused on Sales.
• Minimum 5–6 years of hands-on experience in EdTech Sales strongly preferred.
• Strong and demonstrated experience in Sales Leadership, Business Development, Revenue Growth, and Team Management.
• Proven experience managing 30–40+ sales professionals.
• Strong experience managing multiple layers of leadership, including Sales Managers, Team Leaders, and senior sales professionals.
• Proven track record of consistently achieving and exceeding sales and revenue targets.
• Strong understanding of EdTech sales, customer acquisition, lead conversion, counselling-based sales, and online education business models.
• Proven ability to understand where business can be generated and how to build channels to bring in new business.
• Strong professional network and business connections that can potentially contribute to business development, partnerships, referrals, or revenue opportunities will be highly valued.
• Excellent understanding of sales strategy and business development, with the ability to create strategies that make teams work more effectively.
• Strong ability to convert organisational objectives into clear, actionable sales plans.
• Exceptional leadership and people-management skills.
• Proven experience in managing and developing sales leaders, not just individual sales executives.
• Strong ability to motivate, mentor, coach, and hold leaders accountable for their teams' performance.
• Excellent problem-solving and decision-making abilities, with the capability to provide effective solutions quickly.
• Should be a quick thinker, proactive, solution-oriented, and commercially sharp.
• Strong business acumen with a clear understanding of revenue, profitability, conversion, productivity, sales forecasting, and growth.
• Highly analytical and data-driven approach to decision-making.
• Strong communication, negotiation, coaching, and stakeholder-management skills.
• Strong ability to take complete ownership of sales numbers and business outcomes.
• Ability to work independently, handle pressure, and make sound business decisions in challenging situations.
• Experience in Education, EdTech, Online Learning, Training, SaaS, or other high-growth sales-driven businesses will be highly valued.
• Bachelor's degree in Business, Management, Marketing, or a related field preferred.

The Ideal Candidate

We are looking for someone who is not just a sales manager, but a true sales leader and business builder.

The ideal candidate should be someone who:

• Knows how and from where to generate business.
• Has a proven track record of increasing sales and revenue.
• Can create strategies that enable the team to work effectively and consistently achieve targets.
• Has significant experience in EdTech and understands the industry and its sales dynamics.
• Has successfully managed Sales Managers, Team Leaders, and large sales teams.
• Can build, mentor, and strengthen a strong sales leadership team.
• Can identify problems quickly and provide practical solutions on the spot.
• Has strong business connections, market understanding, and the ability to identify potential business opportunities.
• Is highly target-oriented, commercially sharp, and focused on measurable results.
• Has the maturity and experience to take complete ownership of the organisation's sales function.

The right candidate should be:

Strategic | Exceptional Leader | Business Builder | Target-Oriented | Data-Driven | Commercially Sharp | Strong People Manager | Solution-Oriented | Highly Experienced | High Ownership | Proactive | Results-Driven

Why Join TLS?

• Lead the sales function of a rapidly growing language education brand.
• Opportunity to build and scale a high-performance sales organisation.
• Work directly on strategic revenue and business-growth initiatives.
• Lead and develop a strong team of Sales Managers, Team Leaders, and Sales Professionals.
• Opportunity to significantly influence the company's sales growth and expansion.
• Remote working environment with a growth-oriented culture.
• Competitive compensation of up to ₹15 LPA + performance incentives, based on experience and interview performance.
• Opportunity to take complete ownership of a critical business function and directly contribute to the organisation's growth.

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

Job Overview

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

Key Responsibilities

Cloud Architecture & Migration

• Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
• Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
• Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security & Healthcare Compliance

• Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
• Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership & Team Management

• Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
• Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
• Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.

Operations & FinOps

• Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
• Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

• Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
• Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
• DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
• AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
• Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

Location: Remote / Work From Home

Duration: 6 Months Training Program

Employment Type: Internship / Trainee Program

About the Program

Nuevamacro Technology Private Limited is offering an opportunity for motivated freshers and aspiring IT professionals to gain practical industry exposure through our structured 6-month training program.

This program is designed to help candidates develop real-world technical, business, and professional skills while working on live assignments, learning industry best practices, and collaborating with experienced technology professionals.

Key Responsibilities

• Participate in structured training sessions and workshops.
• Learn emerging technologies, cloud platforms, cybersecurity, AI, and business applications.
• Assist in project documentation, research, testing, and implementation activities.
• Support project teams in delivering client engagements.
• Collaborate with team members in a remote working environment.
• Complete assigned tasks and learning objectives within defined timelines.

Eligibility

• Freshers seeking industry exposure.
• Final-year students or recent graduates in:
• Computer Science
• Information Technology
• Engineering
• Business Applications
• Related disciplines
• Good communication and interpersonal skills.
• Willingness to learn and adapt to new technologies.
• Self-motivated and capable of working independently in a remote environment.

What You Will Gain

• Structured industry-oriented training.
• Exposure to real-world projects and client engagements.
• Mentorship from experienced professionals.
• Hands-on experience with modern technologies and business processes.
• Professional development and career guidance.
• Internship Experience Certificate upon successful completion of the program.

Important Information

• This is a training-focused internship program.
• No stipend will be provided during the 6-month training period.
• Based on individual performance, skill development, project requirements, and upcoming opportunities in our project pipeline, selected interns may be considered for extended engagement in future projects.
• Future project assignments and opportunities will be subject to business requirements and available openings.

Work Mode

✅ 100% Remote / Work From Home

✅ Flexible learning environment

✅ Industry-focused practical exposure

Interested candidates can apply by submitting their resume along with a brief introduction describing their technical interests and career goals.

Job Description:

• Platform Architecture: Design and architect scalable, reliable, and high-performance solutions within the Gravity ecosystem.Provide expertise in structuring the Gravity platform, theme customization, and app integrations.
• Custom Development: Lead and participate in the development of custom features, functionalities, and applications on the Gravity platform. Collaborate with developers to ensure code quality, maintainability, and adherence to best practices.
• Integration Solutions: Develop and implement integration solutions between Gravity and third-party systems, ensuring seamless data flow and functionality.
• Performance Optimization:Analyze and optimize the performance of Gravity applications, addressing bottlenecks, and enhancing overall user experience.
• Security and Compliance: Implement robust security measures to safeguard Gravity applications and ensure compliance with industry standards and regulations.
• Technical Leadership: Provide technical leadership and guidance to the development team, fostering a culture of innovation, collaboration, and continuous improvement.
• Gravity App Development: Design and develop custom applications to enhance the functionality and features of the Gravity platform.
• Stay abreast of the latest Gravity updates, features, and best practices to ensure the platform is leveraging the latest advancements.

Desired Skills:

• Bachelor's or Master's degree in computer science, software engineering, or a related field.
• Minimum of 8 years of experience in Software Development, with at least 3 years as Software Architect.
• In-depth knowledge and hands-on experience with eCommerce architecture, customization capabilities, and application development.
• Proficient in app development, including RESTful APIs, GraphQL, and webhooks.
• Integration Proficiency: Strong expertise in integrating eCommerce with third-party systems and services.
• Performance Optimization: Demonstrated ability to optimize the performance of eCommerce applications, ensuring efficient and fast user experiences.
• Security and Compliance:Experience implementing security measures for eCommerce applications and ensuring compliance with relevant regulations.
• Leadership and Collaboration:Excellent leadership and collaboration skills, with the ability to work effectively with cross-functional teams.

Why Join Gravity:

• Embark on a journey with a forward-thinking and innovative IT technology consulting company.
• Competitive compensation package, featuring performance-based incentives.
• Prospects for career advancement within a rapidly expanding global organization.

Gravity is an equal opportunity employer. We celebrate diversity and remain committed to establishing an inclusive environment for all employees.