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The role

A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.

How you will work

You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.

What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.

What we are looking for

Must have

• 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
• Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
• Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
• The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
• Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
• An eye for where a deployment turns into more business, and the willingness to raise it yourself
• Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
• Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
• The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

• Support the development and maintenance of AI-powered systems, tools, and workflows.
• Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
• Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
• Support AI and backend workflows deployed on Google Cloud Platform — GCP.
• Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
• Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
• Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
• Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
• Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
• Help test AI outputs, validate workflows, debug issues, and improve system reliability.
• Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
• Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
• Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
• Participate in daily standups, sprint planning, technical discussions, and team meetings.
• Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
• Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

• 6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
• Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
• Working knowledge of JavaScript, TypeScript, or Python.
• Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
• Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
• Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
• Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
• Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
• Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
• Good analytical thinking and problem-solving ability.
• Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
• Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
• Good communication skills to work with technical and non-technical teams.
• Ownership mindset and willingness to take responsibility for assigned tasks.
• Comfortable working in a fast-paced startup environment.

Nice to Have

• Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
• Basic understanding of prompt engineering and LLM-based workflows.
• Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
• Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
• Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
• Experience with automation tools, workflow builders, webhooks, or integration platforms.
• Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
• Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
• Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
• Experience building chatbots, AI assistants, internal tools, or automated workflows.
• Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
• Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

• Hands-on experience building AI-powered systems in a real startup environment.
• Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
• Mentorship from senior engineers and product leaders.
• Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
• Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
• Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
• Learning culture that encourages experimentation, feedback, and continuous improvement.
• Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

• Competitive salary with performance-based bonuses.
• Equity ownership through ESOPs — own a piece of the company you help build.
• Flexible remote work options with occasional Bengaluru office meetups.
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
• Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
• Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

Role Overview

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners.

You will develop your skills by contributing to both frontend and backend codebases, primarily using React for building user interfaces and Node.js for backend services.

This role is ideal if you’re passionate about coding, curious about product development, and excited to learn modern technologies while solving meaningful problems.

What You’ll Do

• Write clean, maintainable, and well-tested frontend code using React
• Support backend development and API integrations with Node.js(Express or NestJS)
• Help build responsive, accessible, and performant web and mobile interfaces
• Collaborate with product managers, designers, and senior engineers to understand requirements and deliver features
• Participate in daily standups, sprint planning, and team meetings
• Assist in troubleshooting and debugging issues across the stack
• Learn and apply best practices for version control (Git), CI/CD pipelines, and deployment workflows
• Contribute to code reviews and continuous improvement of code quality
• Continuously improve your skills through feedback, learning sessions, and hands-on experience

What We’re Looking For

• Strong fundamentals in JavaScript and TypeScript
• Proficiency with React — understanding components, state, props, and lifecycle
• Basic experience or knowledge of Node.js backend development
• Understanding of RESTful APIs and how to consume them
• Eager to learn new tools, frameworks, and technologies
• Ability to work well in a collaborative team environment
• Good communication skills to discuss ideas and challenges openly
• Problem-solving mindset and willingness to take ownership of your work

Nice to Have (Not Mandatory)

• Familiarity with Next.js or server-side rendering frameworks
• Exposure to React Native for mobile app development
• Basic understanding of databases like PostgreSQL, MongoDB, or Redis
• Experience with Git or other version control systems
• Personal or academic projects demonstrating your coding abilities
• Internship experience or contributions to open-source projects

What You’ll Gain

• Hands-on experience building Full Stack SaaS products in a real startup environment
• Mentorship from senior engineers and leaders passionate about teaching and growth
• Exposure to cloud infrastructure, DevOps practices, and scalable system design
• Opportunity to contribute to product decisions and see your work impact actual users
• Learning culture that encourages experimentation, feedback, and continuous improvement
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired

Compensation

• Competitive salary with performance-based bonuses
• Equity (ESOPs) – own a piece of the company you help build
• Flexible remote work options with occasional Bengaluru office meetups
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees
• Learning & development budget to support your growth
• Team retreats, virtual hangouts, and a collaborative culture

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

Role Overview

As a Senior Fullstack Developer at GoSuper, you’ll help build and ship features across both web and mobile platforms. You’ll work with React, Next.js, React Native, and Node.js to deliver scalable, user-friendly experiences that power real learning outcomes.

You’ll collaborate closely with designers, product managers, and other engineers to bring ideas to life — from concept to production. This is a hands-on development role with significant impact across the stack.

Core Responsibilities

• Develop, test, and deploy frontend and backend features
• Build responsive web apps using React and Next.js
• Develop mobile apps using React Native
• Consume and integrate APIs built with Node.js/NestJS
• Optimize applications for performance, usability, and reliability
• Collaborate with designers and product teams to implement UI/UX
• Contribute to code quality, reviews, and team knowledge-sharing
• Participate in planning, estimation, and technical discussions

What We Value

• Strong fundamentals in web and mobile development
• Passion for building great user experiences
• Clear communication and collaborative mindset
• Attention to performance, design, and usability
• Ownership — you take responsibility for your work and results

Requirements

• 3+ years of experience as a fullstack or frontend/backend developer
• Proficient with React and Next.js for web development
• Hands-on experience with React Native for mobile apps
• Good understanding of JavaScript/TypeScript
• Experience working with Node.js and API integrations
• Familiar with Git, CI/CD workflows, and cloud environments (AWS/GCP)
• Knowledge of databases (SQL/NoSQL) and caching (Redis)

Bonus Points

• Experience building real-time features (WebSockets, push notifications)
• Familiarity with monorepo tools (Nx, Turborepo)
• Exposure to SaaS, EdTech, or AI-powered products
• Prior experience in a fast-paced startup environment

Compensation

• Competitive + Bonus + ESOPs
• Based on experience, skillset, and contribution. Includes performance-based bonuses and equity participation.

Benefits

• Remote-friendly with optional Bengaluru HQ
• Equity ownership in a high-growth EdTech startup
• Autonomy, learning opportunities, and impactful work
• Fast, feedback-driven culture with top-tier mentorship
• Cult Elite and Cult Play Pass for employees
• Be part of building the future of education

We are looking for a Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

Role: Golang Developer

Experience: 4+Years

Work Location: Mumbai(Kanjurmarg)

Notice Period: Immediate

Required Skills

• Golang: 4+years hands-on experience building production services.
• API Protocols: REST/JSON, gRPC, protobuf; API versioning and backward compatibility.
• Architecture: Clean Architecture, DDD (aggregates, repositories), SOLID, hexagonal architecture.
• Databases: PostgreSQL/MySQL; indexing, query optimization, transactions, isolation levels, migrations (e.g., golang-migrate).

Nice-to-Have

• Event-driven systems (Kafka/RabbitMQ), CQRS and Saga patterns.
• Concurrency: Goroutines, channels, sync primitives (mutex, wait groups), context cancellation, worker pools.
• Containers & Cloud: Docker, Kubernetes; familiarity with AWS/GCP/Azure (IAM, networking, managed DBs).
• CI/CD & Git: Branching strategies, automated tests, code quality checks, artifacts.
• Caching (Redis/Memcached), rate limiting, and feature flags.
• Security: OAuth2/OIDC, JWT, mTLS, secrets management (Vault/SSM).
• Infrastructure as Code (Terraform), Helm charts.
• Experience with performance tooling.

Education

· Bachelor’s in Computer Science/Engineering

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.

Backend Engineer – Java/Spring – Bangalore

 Job Title: Backend Engineer (Java)

 Experience: 7 - 10 years

 Location: Bangalore

 Employment Type: Full Time with Arcis E Services

About the Role

 Looking for a backend engineer with strong Java and Spring expertise to build scalable microservices and backend systems.

 Key Responsibilities

• Develop microservices using Java, Spring Boot, Spring Core, Hibernate.

• Design REST APIs, authentication, and backend architecture.

• Work with SQL/NoSQL databases and optimize queries.

 • Collaborate with frontend and QA for seamless integrations.

• Participate in code reviews, refactoring, and performance optimization.

 Required Skills

 • J2EE, Spring Boot, Hibernate.

• RESTful services, JSON/XML.

• SQL (MySQL/PostgreSQL) and NoSQL fundamentals.

• Familiarity with Docker/Kubernetes is a plus.

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 Summary

We are looking for a skilled Backend Developer with strong Node.js experience to join our development team. The ideal candidate should have hands-on experience in building scalable, secure, and high-performance backend applications and APIs.

You will work closely with frontend developers, product managers, and other engineering teams to design, develop, test, and maintain backend services and applications.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Node.js.
• Build and maintain RESTful APIs and backend services.
• Write clean, reusable, maintainable, and efficient code.
• Work with databases such as MongoDB, PostgreSQL, MySQL, or similar.
• Integrate third-party APIs and external services.
• Implement authentication, authorization, and security best practices.
• Optimize application performance, scalability, and reliability.
• Identify and resolve bugs, performance issues, and production problems.
• Write unit and integration tests to ensure application quality.
• Collaborate with frontend developers to integrate APIs with web/mobile applications.
• Participate in code reviews and follow development best practices.
• Work with Git and standard CI/CD and deployment processes.
• Contribute to system design and technical discussions.

Required Skills

• 2–6 years of professional experience in backend development.
• Strong hands-on experience with Node.js.
• Good knowledge of JavaScript and/or TypeScript.
• Strong understanding of REST APIs, HTTP, JSON, and API design.
• Experience with Express.js, NestJS, or similar Node.js frameworks.
• Good understanding of relational or NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
• Knowledge of SQL and database design.
• Experience with Git/GitHub/GitLab/Bitbucket.
• Understanding of authentication mechanisms such as JWT/OAuth.
• Strong problem-solving and debugging skills.
• Good understanding of data structures, algorithms, and backend architecture.

Good to Have

• Experience with TypeScript.
• Knowledge of AWS / Azure / GCP.
• Experience with Docker and Kubernetes.
• Knowledge of Redis, Kafka, RabbitMQ, or other caching/message queue technologies.
• Experience with microservices architecture.
• Familiarity with CI/CD pipelines.

Key Responsibilities

·      Develop and maintain application features using .NET Framework and Angular or assigned tech stack.

·      Write clean, efficient, and well-structured code following engineering best practices.

·      Debug, test, and fix defects with attention to quality and performance.

·      Participate in requirement discussions, sprint ceremonies, and Agile workflows.

·      Collaborate with peers, leads, QA, and cross-functional teams effectively.

·      Document code, APIs, and module-level design details.

·      Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) responsibly to improve productivity.

·      Continuously learn and apply new technologies, frameworks, and standards.

Required Skills

·      Strong fundamentals in OOP, data structures, algorithms, logical reasoning, and problem solving.

·      Good knowledge of C#/.NET Framework, or another modern backend framework.

·      Basic understanding of relational databases, REST APIs, and version control (Git).

·      Understand database concepts and able to write sql queries with joins

·      Familiarity with Agile concepts (user stories, backlog, sprints).

·      Good communication and team collaboration skills.

·      Quick learner with a growth mindset.

·      Awareness of AI tools and how they support coding, testing, and documentation.

Preferred Skills

·      Knowledge of unit testing (xUnit, JUnit, NUnit).

·      Exposure to CI/CD pipelines and DevOps basics.

·      Basic understanding of cloud platforms (Azure/Cloudflare) is a plus. 

Key Responsibilities

·      Develop and maintain application features using .NET Framework and Angular or assigned tech stack.

·      Write clean, efficient, and well-structured code following engineering best practices.

·      Debug, test, and fix defects with attention to quality and performance.

·      Participate in requirement discussions, sprint ceremonies, and Agile workflows.

·      Collaborate with peers, leads, QA, and cross-functional teams effectively.

·      Document code, APIs, and module-level design details.

·      Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) responsibly to improve productivity.

·      Continuously learn and apply new technologies, frameworks, and standards.

Required Skills

·      Strong fundamentals in OOP, data structures, algorithms, logical reasoning, and problem solving.

·      Good knowledge of C#/.NET Framework, or another modern backend framework.

·      Basic understanding of relational databases, REST APIs, and version control (Git).

·      Understand database concepts and able to write sql queries with joins

·      Familiarity with Agile concepts (user stories, backlog, sprints).

·      Good communication and team collaboration skills.

·      Quick learner with a growth mindset.

·      Awareness of AI tools and how they support coding, testing, and documentation.

Preferred Skills

·      Knowledge of unit testing (xUnit, JUnit, NUnit).

·      Exposure to CI/CD pipelines and DevOps basics.

·      Basic understanding of cloud platforms (Azure/Cloudflare) is a plus. 

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Company & Team Overview

Planview's mission is to build the digital future of connected work — empowering business, technology, and transformation leaders to accelerate the achievement of the project and product initiatives that matter most. As the leading end-to-end platform for Strategic Portfolio Management (SPM) and Software Product Delivery, Planview's AI-powered solutions give leaders the strategic foresight to prioritize with precision, accelerate value delivery, and adapt with confidence.

Headquarters in Austin, Texas, with over 1,500 employees worldwide, Planview serves more than 3,000 customers and 3.1 million users globally, including 45 of the Fortune 100.

The Support Operations team is at the heart of Planview's customer experience, ensuring that enterprises around the world get the most value from Planview's industry-leading platform. As Planview expands its AI-first portfolio through continued innovation and acquisition, the Support Operations team plays a critical role in delivering consistent, high-quality technical assistance across a growing suite of solutions.

Role Summary

Technical Support Engineer I provides first-level technical support for Planview KeyedIn (enterprise PPM) Customer Care customers and internal employees, serving as the primary point of contact for a defined set of accounts and cases. In this role, you will independently resolve standard cases across user and license administration, project and resource management, reporting, data operations, and integration workflows, while investigating root causes and documenting durable solutions.

You will escalate complex or defect cases appropriately — acting as a liaison between customers and the Development and Cloud Operations teams — and guide customers on the product's proper use and best practices. As you grow, you will take on increasingly complex problems end-to-end and mentor Associate Technical Support Engineers, contributing to a high-performing, collaborative team. Success is measured by case resolution quality, SLA performance, customer satisfaction, and case hygiene.

Key Responsibilities

Customer Support & Case Management

•   Act as the first point of contact for KeyedIn Customer Care customers seeking technical assistance, providing troubleshooting and support via the ticketing system, email, and web-based tools.

•   Accurately log all customer cases, interactions, and resolutions in the case management system (Salesforce).

•   Take a hands-on approach, managing issues from initial contact through final resolution and follow-up, and maintaining full accountability throughout the support lifecycle.

•   Prioritize cases according to severity and SLA commitments, ensuring timely and accurate responses.

•   Maintain case hygiene — accurate status, ownership, and next action — with no-silent-case discipline.

Technical Troubleshooting & Resolution

•   Handle standard KeyedIn administration and configuration requests — support-portal accounts, licence-count updates, user provisioning and termination, login-group publishing, and access/login issues.

•   Resolve standard reporting, widget, dashboard, and how-to cases; assist with routine data export and data-load requests.

•   Investigate root causes, guide customers through corrective steps, and document solutions in the Customer Success Center knowledge base.

•   Escalate complex or defect cases to higher-level engineers or Development with clear reproduction steps and environment details; route Cloud Operations and Development-owned work to the correct team without owning it.

•   Follow the team's call-escalation discipline — move prolonged email threads to a call at the defined threshold to speed resolution.

Product Knowledge & Continuous Improvement

•   Stay current on KeyedIn releases, feature changes, known issues, and system updates.

•   Advise customers on the product's proper use, best practices, and configuration guidance.

•   Contribute to technical notes and knowledge base articles in the Customer Success Center.

•   Collect and communicate customer feedback, recurring issues, and product-quality insights to improve product quality and support processes.

Collaboration & Mentoring

•   Mentor Associate Technical Support Engineers, sharing knowledge and best practices.

•   Build relationships with cross-functional teams including Engineering, Development, Cloud Operations, Product, and Customer value advisor.

•   Function independently as well as part of a cross-functional global team.

•   As needed, participate in on-call or skeleton crew rotation.

Required Qualifications

•   1–3 years of experience in technical support, software support, IT support, or a closely related customer-facing role.

•   Demonstrated ability to independently troubleshoot and resolve technical issues in enterprise software or SaaS environments.

•   Strong written and verbal communication skills in English; ability to explain technical concepts clearly to both technical and non-technical audiences.

•   Experience using ticketing or case management systems (e.g., Salesforce, Jira, Zendesk, or similar).

•   Solid diagnostic and problem-solving skills with a systematic, analytical approach.

•   Proven ability to manage multiple cases simultaneously while maintaining attention to detail and meeting SLA commitments.

•   Ability to work independently and as part of a cross-functional global team.

•   Experience using ticketing or case management systems (e.g., Salesforce, Jira, Zendesk, Dynamics 365, or similar).

Preferred Qualifications

•   Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.

•   Familiarity with SaaS application support models and multi-tenant environments.

•   Experience with enterprise databases and SQL querying (SQL Server, Oracle, PostgreSQL, or MySQL).

•   Exposure to REST or SOAP APIs and tools such as Postman or cURL.

•   Practical familiarity with PPM concepts — projects, resources, timesheets, dashboards, reporting/widgets, and custom entities.

•   Understanding of identity and access management concepts (SSO, OAuth, RBAC, SAML).

•   Knowledge of the Planview product ecosystem, particularly KeyedIn or other PPM solutions.

•   Relevant technology certifications (Microsoft, AWS, ITIL, or similar).

Knowledge, Skills & Abilities

•   Willing to accept and adapt to change, showing flexibility and recovering relatively quickly from setbacks.

•   Actively participates in team meetings and seeks out collaboration opportunities without always waiting to be prompted.

•   Seeks feedback from colleagues and peers and integrates that feedback into their approach and work quality.

•   Displays a willingness to develop conflict-resolution skills and facilitate productive discussions with customers and colleagues.

•   Keeps a calm, professional demeanor across a variety of clients and personalities, even when others in the support process may not.

•   Self-motivated, detail-oriented, and organized, with the ability to begin prioritizing work independently.

•   A logical, process-oriented thinker who is positive, proactive, and innovative — a creative problem solver with exceptional customer service skills.

•   Committed to continuous learning, with intellectual curiosity to expand product and technical knowledge and the ability to learn new concepts quickly.

•   Comfortable engaging with AI-assisted tools to accelerate research, issue diagnosis, and knowledge base contributions.

Technical Skillset (Product-Specific)

Experience Required: 1–3 years.

Must Have

•   API — Experience with Postman or similar tools to test APIs, validate responses, and troubleshoot API failures; understanding of REST APIs, HTTP methods, status codes, and request/response flows for troubleshooting integrations.

•   SQL & Relational Databases — Ability to write basic to intermediate SQL queries to validate data, troubleshoot data issues, and understand database relationships.

•   Analytical & Communication Skills — Strong problem-solving ability with the capacity to translate technical findings into clear, actionable guidance for non-technical stakeholders.

•   Application & Log Analysis — Application logs, error analysis, troubleshooting, and root cause identification.

•   Salesforce & Jira — Working knowledge of Salesforce for case management and Jira for defect tracking and ticket management.

•   Web & SaaS Troubleshooting — Web-based applications, SaaS/cloud environments, browser Developer Tools, HTTP/HTTPS, and network troubleshooting.

•   Cloud & Networking — Basic understanding of cloud environments, DNS, SSL/TLS, firewalls, proxies, and connectivity issues.

•   Power BI (basic) — able to read dashboards and reports, understand how filters and slicers change results, and recognize whether a reporting issue is a data, refresh, or configuration problem.

Nice to Have

•   PPM Application Support — Practical familiarity with projects, resources, timesheets, dashboards, reporting/widgets, and custom entities.

•   Reporting & Data — Comfort with report/widget configuration concepts, filters, and data validation.

•   Data Loads & Exports — Ability to handle imports/exports, MS Project imports, and bulk field uploads.

•   Planview Product Familiarity — Any exposure to Planview's portfolio or release management product suite.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

We are looking for Java Full Stack Developers with strong experience in development using Java, Spring Boot, and REST APIs, along with exposure to front-end technologies such as Angular or React.

Required Skills:

• Strong proficiency in Java and Spring Boot framework.
• Hands-on experience in developing REST APIs and microservices architecture.
• Experience with Kafka.
• Experience with Spring Batch processing.
• Knowledge of Swagger/OpenAPI.
• Hands-on experience with OpenShift or container orchestration platforms.
• Strong understanding of JPA/Hibernate ORM frameworks.
• Experience working with relational and/or NoSQL databases.
• Proficiency in Git version control systems.
• Experience with CI/CD tools and deployment pipelines.
• Testing knowledge using JUnit.
• Experience with functional and API testing tools such as Postman.
• Front-end development experience with Angular or React.

Role Overview

We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.

Key Responsibilities

• Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
• Build and maintain data models to support business processes, reporting needs, and integration workflows.
• Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
• Work closely with cross-functional teams to gather data requirements and understand business logic.
• Develop and execute integration test plans, including functional, data validation, and regression testing.
• Support data migration activities, including extraction, transformation, and loading (ETL).
• Monitor and troubleshoot integration issues, ensuring timely resolution.
• Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
• Ensure integration security, data integrity, and compliance with organizational standards.

Required Skills & Qualifications

• 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with data mapping, data modelling, and database schema design.
• Proficiency in SQL (complex joins, stored procedures, performance tuning).
• Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
• Strong analytical and problem-solving skills.
• Experience with API-based integrations (REST/SOAP) is a plus.
• Familiarity with testing methodologies for integrations and data validation.
• Ability to work with business users, understand workflows, and translate requirements into technical solutions.

Preferred Qualifications

• Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
• Knowledge of JSON, XML, CSV transformation.
• Exposure to scripting languages (Python, Shell).
• Experience in Agile/Scrum environments.
• Prior involvement in ERP implementation or upgrade projects.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

Job Title: Software Engineer / Senior Software Engineer – Java Backend

Experience: 5–10 Years

Location: Pune (Baner) – Work from Office (5 Days a Week)

About the Role :

We are looking for passionate Java Backend Engineers to build highly scalable, high-performance enterprise applications used by millions of users globally. The ideal candidate should have strong experience in Java, Microservices, Payment Gateway integrations, and Checkout platform development, with a product engineering mindset.

Candidates from FinTech, E-commerce, Payments, or Product-based companies will be preferred.

Key Responsibilities :

Design, develop, and maintain scalable backend applications using Java and Microservices.

Build secure, high-performance REST APIs and distributed services.

Develop and enhance Checkout platforms and Payment Gateway integrations for seamless payment processing.

Collaborate with Product, Architecture, QA, and DevOps teams throughout the SDLC.

Participate in system design, architecture discussions, and technical decision-making.

Ensure high code quality through unit testing, code reviews, and engineering best practices.

Build and support CI/CD pipelines and containerized deployments.

Troubleshoot production issues, optimize performance, and improve application reliability.

Mentor junior engineers and contribute to engineering excellence.

Required Skills :

5–10 years of backend development experience.

Strong expertise in Java, Spring Boot, Spring MVC, Hibernate/JPA.

Hands-on experience with Microservices Architecture.

Experience building RESTful APIs.

Strong knowledge of SQL/NoSQL databases.

Experience with Payment Gateway Integration (Stripe, Adyen, Razorpay, Worldpay, PayU, Checkout.com, etc.).

Hands-on experience developing Checkout and Payment Processing workflows.

Understanding of Payment Lifecycle, including Authorization, Capture, Refunds, Settlement, Webhooks, and Transaction Management.

Experience with Docker, Kubernetes, and containerized applications.

Good understanding of CI/CD pipelines using Jenkins or similar tools.

Familiarity with Git, Agile methodologies, and engineering best practices.

Strong problem-solving and debugging skills.

Preferred Skills :

Experience working in FinTech, Payments, E-commerce, or Product-based organizations.

Exposure to Cloud Platforms (GCP/AWS/Azure).

Experience with Kafka or event-driven architecture.

Knowledge of OAuth2, JWT, Keycloak, or similar authentication mechanisms.

Experience with Monitoring & Observability tools (Grafana, Prometheus, ELK, Splunk).

Performance tuning and scalability optimization experience.

Preferred Background :

Candidates from FinTech, Digital Payments, Banking Products, E-commerce, or Product Engineering companies.

Experience working on high-volume transaction systems handling secure payment processing and checkout experiences.

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)

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

The Role

Own end-to-end credit & fraud data science: feature engineering from raw bureau JSON ,SMS,DEVICE, scorecard / model development, Business Rule Engine (BRE) design, monitoring, and partnering with product/engineering to put rules live. You will work directly with the existing DS team,Tech,product and founders — decisions are data-backed and debated.

What you will own

1. Build and maintain credit scorecards and models for FTB and Repeat Borrowers (Xgboost, Random forest, Support Vector Machine Models, ensemble models, challenger models).
2. Engineer features from raw CRIF (or equivalent) bureau JSON — tradelines, enquiries, DPD histories, identity matches — and from raw SMS / FinBox alt-data (collections, rejections, salary, app footprint).
3. Design, validate, and ship Models: hard rejects, soft flags, amount caps — with clear lift/capture

/ approval trade-offs.

1. Own portfolio risk analytics: vintage / DPD / non-starter / POS bad-rate monitoring; propose tier pauses, cool-offs, and ladder-up changes.
2. Build fraud signals (device, SIM/OTP, mule, ring, post-disbursal disappearance) and help prioritise the fraud PRD backlog into production.
3. Partner with engineering to productionise features, rules, and models (Watchtower-style shadow underwriting, policy index, monitoring dashboards).
4. Challenge and refine existing tier/ladder policy with evidence; communicate clearly to founders and business.

Required experience

• Tenure: 5+ years overall experience in data science/analytics.
• Digital lending: Minimum 3 years hands-on in digital lending/consumer credit (NBFC, fintech lender, digital/STPL/) who has built models themselves.
• Scorecards/models: Built and deployed at least one credit scorecard (first-time borrower or repeat borrower, or combined model) into a live BRE / LOS. Should improve approval–bad-rate trade-offs from production experience.
• Bureau: Parsed and engineered features from raw bureau files (CRIF / CIBIL / Experian JSON or XML) — not only vendor-precomputed attributes.
• Non-starter models: Fraud/non-starter / First Payment default modelling experience in short-tenure lending.
• Limit Assignment: Experience with repeat-borrower ladder / limit-management policies.
• Monitoring and QC: Shadow underwriting/champion–challenger frameworks.
• Alt-data: Worked with SMS / alt-data / device / AA signals for underwriting or fraud (FinBox, similar vendors, or in-house SMS parsing).
• Stack: Strong SQL + Python (pandas, sklearn/Logistic / lightgbm/Xgboost/randomforest, statsmodels). Able to write production-quality notebooks and scripts, not just slide decks.
• Communication: Comfortable debating policy with founders/credit heads using data; owns the "show me the evidence" conversation.

Nice to have:

• Feature stores, Airflow/cron pipelines, S3 + Postgres + DynamoDB.
• Prior Experience: Prior work at a zero-to-one digital lender or STPL product.

What success looks like in 6 months

• A documented feature dictionary from raw bureau + SMS with IV/KS ranking.
• At least one new scorecard/model live with clear expected vs observed bad-rate impact.
• Non-starter / First Payment Defaults monitoring with actionable rule recommendations and clear demonstrated improvements in defaults
• Credible pushback on weak policy ideas — backed by analysis, not opinion.

Experience: 2-3 Years

Employment Type: Full-Time

Location: Remote

About the Role

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL to join our development team. The candidate will work on Education ERP/EdTech applications, develop new features, fix bugs, work with databases, and support existing applications.

Key Responsibilities

• Develop and maintain web applications using PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to deliver assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience in Education ERP, EdTech, LMS, School/College Management Systems, Admission, Fee, Examination, Student Management, HRMS, or Finance modules will be an advantage.

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

Data Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 3-5 years

Role Overview  

What We’re Looking For:

• Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
• Experience designing and shipping cloud services products.
• Experience driving and managing technical and architectural dependencies on AWS Cloud.
• A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
• Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
• Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
• Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
• Proficiency in programming languages such as Python.
• Strong analytical and problem-solving skills.
• 
  

Required Skills & Experience

• Experience with Python, SQL, and data visualization/exploration tools.
• Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
• Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
• Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
• Excellent leadership, stakeholder management, and communication skills.

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

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

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

About the Role

Octalbees is looking for a MERN Stack Developer Intern to join our development team and work on practical, industry-oriented web development projects.

What You'll Work On

• Build and improve web applications using MongoDB, Express.js, React.js, and Node.js
• Develop responsive and user-friendly frontend interfaces
• Build and integrate REST APIs
• Work with databases, authentication, and backend services
• Debug, test, and optimize applications
• Collaborate with the team and follow professional development workflows
• Contribute to real-world projects and features

What We're Looking For

• Basic to good understanding of the MERN stack
• Knowledge of JavaScript, React.js, Node.js, Express.js and MongoDB
• Understanding of REST APIs and Git/GitHub
• Good problem-solving and communication skills
• Willingness to learn, take feedback, and work on practical projects

What You'll Get

• Hands-on experience with industry-oriented projects
• Mentorship and guidance
• Exposure to professional development workflows
• Internship certificate and project experience
• Performance-based stipend from the second month for eligible interns
• PPO opportunity for candidates who demonstrate strong performance and contribution

Internship Details

• Mode: Remote
• Type: Internship
• Commitment: Part-time / flexible
• Candidates who perform well may have opportunities for continued engagement with Octalbees.

Important: Stipend and PPO are performance-based and are not guaranteed for every intern.

To Apply: Submit your application through Wellfound with your updated resume/GitHub/portfolio.

Job Description

• Design and Implement Data Solutions: Lead the design, development, and implementation of scalable and secure Azure-

based data platforms, ensuring integration with various data sources and business systems. Deliver at least 2 major

projects every year with a focus on data engineering best practices.

• Optimize Data Pipelines: Build and optimize end-to-end data pipelines using Azure Data Factory, Azure Databricks, and

Azure Synapse, with an emphasis on automating data workflows. Achieve a 20% reduction in pipeline execution times

within the first 6 months.

• Cloud Infrastructure Management: Manage and maintain the Azure data environment, ensuring high availability, disaster

recovery, and cost optimization. Track and improve system uptime to exceed 99.9% reliability.

• Collaborate with Cross-Functional Teams: Partner with data scientists, data analysts, and business stakeholders to translate

business requirements into efficient data solutions. Facilitate at least 3 collaborative sessions per quarter to address key

business use cases.

• Ensure Data Security & Compliance: Implement data security measures, ensuring compliance with industry regulations

(GDPR, HIPAA, etc.) and company policies. Achieve and maintain full compliance in all data environments within the first

quarter of onboarding.

• Continuous Learning & Knowledge Sharing: Stay up-to-date with emerging Azure technologies, and mentor junior

engineers to promote knowledge sharing. Complete 1 Azure certification annually and conduct at least 2 internal

knowledge-sharing sessions per year.

• Sound knowledge of data governance practices, data quality management, and data security principles.

• Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.

• Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage

services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks,

Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.)

• Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for

continuous improvement.

• Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps,

PowerShell, or other relevant tools.

• Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting

new technologies or features to enhance the data platform.

• Document technical designs, procedures, and guidelines for data platform engineering and operations

Knowledge, Skills & Experience

Job Experience • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced

degree preferred.

• Proven 6-10 years experience in playing platform engineer or admin role

• Experience with big data technologies such as Apache Spark, Hadoop, or similar

frameworks.

• Solid understanding of cloud computing concepts and experience with cloud

infrastructure management and provisioning.

• Solid understanding of network security concepts and technologies (such as

firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security

concepts and technologies (such as access controls, encryption, observability,

privacy laws/regulations, etc.)

• Experience in a Retail setup is preferred.

Required Skills The position will require someone with the following:

• Strategic Planning

Public

• Communication and Collaboration

• Problem Solving Skills A/B testing & experimentation

• SQL, BI tools, and storytelling with data

Role: Full Stack JavaScript/TypeScript Developer

We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.

Responsibilities:

Core Skills & Competencies (Must have):

• Strong proficiency in TypeScript and solid JavaScript fundamentals
• Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
• Expertise in HTML/CSS, with experience creating responsive and adaptive designs
• Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
• Experience with RESTful services and APIs
• Familiarity with AI SDKs, LLM APIs, and vector databases
• Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
• Understanding of database design and management, especially with SQL
• Experience with version control systems such as Git
• 
  

Desired Skills & Competencies (Nice to have):

• Experience with event-driven architecture
• Experience with cloud services like Azure or AWS
• Familiarity with modern DevOps practices
• Understanding of security practices and web application security
• Familiarity with CI/CD pipelines
• 
  

What we're looking for:

• Strong command over JS/TS fundamentals, not just framework-level knowledge
• Candidates with internship experience or a background from a reputed engineering college preferred
• Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)

AI & Data Engineering – Role Overview

What You’ll Do

🤖 AI Architecture & Agentic Deployment

• Design, develop, and deploy production-grade AI applications and intelligent agents using Azure AI Foundry.
• Build scalable, secure, and fully governed enterprise AI solutions.

📊 Data Foundations & Modernization

• Architect high-performance data models and automated pipelines using Azure Databricks, Python, and Apache Spark.
• Modernize legacy systems and tune Spark clusters for performance.

🧠 LLMs & Prompt Engineering

• Apply advanced prompt engineering techniques.
• Fine-tune LLM workflows and manage enterprise AI integrations across complex business environments.

👨‍💻 Technical Leadership & Mentoring

• Act as the primary Subject Matter Expert (SME) for AI and data engineering.
• Design end-to-end architectures and mentor junior engineers.
• Actively contribute to technical guilds and communities of practice.

🤝 Strategic Stakeholder Management

• Translate data and AI strategy into robust IT solutions.
• Present findings, metrics, and architectures to technical teams and business leaders.
• Drive technology adoption and alignment across stakeholders.

⚙️ Operations & Change Governance

• Oversee incident, problem, and change management processes for production AI and data workflows.
• Ensure high availability, speed of delivery, and cost efficiency.

What We’re Looking For

• 6+ years of high-impact engineering experience architecting, building, and deploying LLM applications, custom agents, and governed AI solutions on Azure AI Foundry.
• Deep proficiency in Python for data pipeline engineering and custom AI development.
• Advanced technical expertise in Azure Databricks, including:
• PySpark
• Cluster optimization
• Modern lakehouse design
• Strong foundation in:
• SQL
• High-volume ETL/ELT pipeline design
• Data modeling frameworks
• Deep knowledge of:
• Prompt engineering
• LLM orchestration
• Evaluation frameworks
• AI guardrails within Azure ecosystems
• Outstanding communication skills, with a proven ability to influence both technical teams and non-technical business stakeholders.

What You’ll Get

Your work matters—and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing professionally and personally.

🚀 Growth & Development

• Accelerate Your Career: Lead delivery across diverse industries and cutting-edge technologies while expanding your leadership mindset.
• Access Global Brands: Engage directly with world-leading businesses and manage relationships at the executive level.
• Proprietary Frameworks & Accelerators: Use established playbooks and toolkits to fast-track meaningful work and project outcomes.
• Paid Certifications: Stay ahead with certifications across ITIL, PMP, and major cloud platforms.

🏆 Culture & Rewards

• Supportive Leadership: Benefit from senior mentoring and clear pathways into practice leadership or account management.
• 360° Progress Reviews: Receive honest, developmental feedback to fuel your professional growth.
• Guilds & Weekly Training: Learn from peers through communities focused on data, AI, and delivery excellence.
• Hackathons & Innovation Days: Challenge yourself to build innovative solutions beyond business as usual.
• Kudos & Recognition: Great work doesn’t go unnoticed, supported by impact-based rewards and incentives.
• Vivanti Articulate: Master executive communication through a specialized public-speaking program.
• Employee Assistance Program: Access support for medical, mental, and personal wellbeing.
• Real Connection: Enjoy Friday socials, team-building days, and a collaborative team environment.

Final Word

If you're looking for a place where your growth goes into overdrive, where you'll work with great people, gain access to cutting-edge technology, and genuinely enjoy the journey—this could be the opportunity for you.

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

We are looking for a Database Engineer (PostgreSQL) with 1-5 years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

• Design, develop, and maintain PostgreSQL databases.
• Optimize SQL queries and improve database performance.
• Perform database design, indexing, and schema management.
• Execute data migration, backup, recovery, and disaster recovery activities.
• Monitor database health and troubleshoot performance issues.
• Collaborate with development teams to ensure scalable database solutions.

Requirements:

• 1-5 years of PostgreSQL database experience.
• Strong SQL and performance tuning skills.
• Knowledge of database backup, recovery, and migration processes.

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

---

Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

---

5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

---

6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

---

7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

---

8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

---

9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

---

10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

---

11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

---

12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

---

13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

---

14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

---

15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

---

Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

---

Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

---

Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

---

Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

---

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Position: AS/400 Developer

Experience: 6+ Years

Work Mode: Remote

Job Summary

We are looking for an experienced AS/400 Developer with strong hands-on experience in IBM i (AS/400) development. The ideal candidate should have solid expertise in RPG, CL, DDS, DB2/400, and SQL, along with experience in application development, maintenance, troubleshooting, and production support.

Key Responsibilities

* Design, develop, test, and maintain applications on the IBM i (AS/400) platform.

* Develop and maintain programs using RPG/ILE RPG, RPG IV, Free-Form RPG, CL, DDS, and SQL.

* Analyze business requirements and translate them into effective technical solutions.

* Develop, enhance, and maintain application programs, modules, and interfaces.

* Write efficient SQL queries and perform SQL/database performance tuning.

* Work with DB2/400, Query/400, and related IBM i database technologies.

* Troubleshoot, debug, and resolve application and production issues.

* Perform root-cause analysis and implement appropriate fixes.

* Integrate AS/400 applications with external systems using APIs, web services, flat files, and other interfaces.

* Participate in application enhancements, testing, deployment, and maintenance activities.

* Ensure code quality, performance, security, and adherence to development standards.

* Collaborate with functional teams and other technical teams to understand requirements and deliver solutions.

* Prepare and maintain technical documentation as required.

Required Skills

* 6+ years of hands-on experience in AS/400 / IBM i development.

* Strong expertise in RPG IV / ILE RPG / Free-Form RPG.

* Strong knowledge of CL/CLLE, DDS, DB2/400, and SQL.

* Experience with SQL queries, stored procedures, and performance tuning.

* Good understanding of IBM i architecture and application development.

* Experience in debugging and production support.

* Experience working with system interfaces, APIs, web services, and file handling.

* Knowledge of source/version control tools such as Git or SVN is an advantage.

* Strong analytical, problem-solving, and debugging skills.

* Good communication and teamwork skills.

Preferred Qualifications

* Experience working on enterprise-level AS/400 applications.

* Experience with application modernization or integration with modern technologies.

* Ability to work independently in a remote environment.

* Strong understanding of SDLC and software development best practices.

Work Mode

Remote Opportunity

Hiring for Data Scientist / Senior Data Scientist

Exp : 4 - 12 yrs

Edu : BE/B.tech/MCA

Work Location : Pune

Notice Period : Immediate - 15 days

Skills :

4+ years of experience in data engineering, data science, or related domains.

Hands-on experience with SQL, Python, and distributed data systems.

Knowledge of machine learning techniques and statistical analysis.

Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).

Familiarity with DevOps practices and CI/CD for data pipelines.

Platforms & Operations Experience (Preferred)

- Experience working with Azure, AWS, or Google Cloud data tools.

Operational experience with data orchestration tools (Airflow, ADF, Glue).

Understanding of Kubernetes, Docker, or containerized environments.

Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).

Experience in monitoring, logging, and alerting operations for data workflows.

RCM Analytics Specialist – US Healthcare

Job Title: RCM Analytics Specialist

Department: Revenue Cycle Management (RCM)

Industry: US Healthcare / Medical Billing

Experience: 2–5 Years

Employment Type: Full-Time

Location: Mohali

Shift: US Shift / Night Shift

Work Mode: Work from Office

Job Summary

We are looking for an experienced RCM Analytics Specialist to analyze US Healthcare RCM data, prepare performance reports, identify trends and revenue gaps, and provide actionable insights to improve collections, reduce denials, and enhance operational performance.

Key Responsibilities

• Analyze US Healthcare RCM data to identify trends, gaps, operational issues, and areas for improvement.
• Prepare and maintain daily, weekly, and monthly RCM performance reports and dashboards.
• Analyze denial trends and identify root causes, including eligibility, authorization, coding, documentation, and payer-related issues.
• Track payer-wise and client-wise performance and identify potential revenue leakage.
• Analyze AR aging buckets and identify high-value or aging accounts requiring immediate attention.
• Develop reports to help management monitor team productivity, collections, quality, and financial performance.
• Prepare MIS reports, dashboards, ad-hoc analysis, and business insights for management.
• Present analytical findings and recommendations to management and operational stakeholders.

Required Skills & Qualifications

• 3–5 years of experience in US Healthcare RCM, Medical Billing Analytics, MIS, Business Analytics, or Healthcare Operations.
• Strong analytical and problem-solving skills.
• Good understanding of RCM metrics, reports, and operational KPIs.
• Ability to analyze large datasets and identify trends, discrepancies, and opportunities for improvement.

Preferred Skills

• Experience with Power BI or other BI/dashboarding tools.
• Knowledge of SQL and database querying.
• Advanced Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, SUMIFS/COUNTIFS, charts, and dashboards.
• Experience in developing automated MIS/RCM dashboards.

What We Offer

• Competitive Salary: ₹40,000 – ₹70,000 per month
• Attractive Incentives for experienced candidates
• Growth and career development opportunities
• Professional and collaborative work environment

Hiring AI ML Engineer

Exp : 8 - 11 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune

Skills :

Experience with MLOps processes and tools.

Experience with SQL, Databricks, MLFlow and PowerBI/Tableau.

Hands-on experience with MLOps tools and cloud ML platforms such as MLflow, Databricks, Azure ML, or equivalent.

Strong SQL and data analysis skills for validation, troubleshooting, monitoring, and reporting.

Experience with model lifecycle management, including model registry, versioning, lineage, reproducibility, deployment tracking, and monitoring.

Familiarity with dashboards and alerting tools such as Power BI, Tableau, Databricks SQL dashboards, or equivalent.

Working knowledge of Git, CI/CD, scripting, and production support practices would be advantageous.

Required Skills

* Strong hands-on experience with any one of the following performance testing tools (mandatory): IBM Rational Performance Tester (RPT) (Preferable), LoadRunner, Apache JMeter.

* Proven capability to establish and run Performance Engineering cycles independently.

* Solid understanding of API performance & microservices, distributed systems & high-throughput transaction platforms.

* Strong fundamentals in SQL basics & database performance.

* Experience with Linux OS performance metrics and system-level analysis.

* Ability to interpret APM/log insights and translate them into actionable tuning recommendations.

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

About the Role

We are looking for a logical and technically strong Application Support / Frontend Developer with hands-on experience in XML, HTML and SQL. The candidate will be responsible for working on RF/mobile applications, XML-based forms and configurations, application testing, troubleshooting and providing technical support.

The ideal candidate should have good analytical and logical problem-solving skills and be comfortable understanding existing application workflows and configurations.

Key Responsibilities

• Develop, modify and maintain XML-based forms, screens and configurations.
• Work with HTML for UI/form-related changes and enhancements.
• Write and execute SQL queries for data validation, troubleshooting and reporting.
• Support and troubleshoot RF/mobile applications.
• Analyze application issues and identify the root cause.
• Perform application testing, debugging and validation of changes.
• Understand business requirements and convert them into appropriate application/configuration changes.
• Work with existing application workflows, forms and configurations.
• Coordinate with development and functional teams to resolve application-related issues.
• Maintain technical documentation and follow defined development/support processes.

Required Skills

• Hands-on experience with XML is mandatory.
• Good knowledge of HTML.
• Good working knowledge of SQL and database queries.
• Strong logical reasoning and analytical/problem-solving skills.
• Good understanding of application workflows and troubleshooting.
• Ability to understand existing code/configuration and make required changes.
• Good communication and coordination skills.

Preferred / Good to Have

• Experience with RF Applications / RF Mobile Applications.
• Experience with Warehouse Management Systems (WMS) or warehouse applications.
• Experience working with XML-based forms or configurations.
• Exposure to application support or software troubleshooting.
• Basic knowledge of JavaScript or other frontend technologies will be an advantage.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Job application link : https://grnh.se/z7qx2ehx1us

Supercharge Your Career as a Technical Business Analyst at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

What’s in it for You?

We are seeking an experienced Technical Business Analyst with strong Utility / Energy domain expertise to bridge business requirements and technical implementation. The ideal candidate will work closely with business stakeholders, product owners, and engineering teams to deliver high-quality solutions within Utility, Energy, and related enterprise platforms. You will be responsible for understanding utility business processes, translating

requirements into functional and technical specifications, and ensuring alignment between business objectives and system design.

Technical Business Analyst – Utility / Energy Domain

Hyderabad

Fulltime

What Will You Be Doing?

Requirement Gathering & Analysis

•Conduct detailed requirement-gathering sessions with business stakeholders in the Utility / Energy domain.

•Analyze business needs and translate them into clear functional and technical requirements.

Domain Analysis (Utility / Energy)

•Work on use cases related to Power & Utilities, Retail Energy, Metering, Billing, Customer Information Systems (CIS), Outage Management (OMS), Energy Trading, or Regulatory Reporting.

•Understand end-to-end utility workflows such as customer onboarding, billing cycles, consumption data, settlements, and compliance.

Documentation

• Create and maintain BRDs, FRDs, Functional Specifications, and User Stories.

• Ensure documentation reflects utility-specific business rules and regulatory constraints.

Process Mapping & Improvement

• Analyze current-state utility processes and define future-state workflows.

• Identify gaps, inefficiencies, and automation opportunities.

Stakeholder Communication

• Act as a liaison between utility business users, product teams, developers, QA, and project managers.

• Ensure alignment on scope, timelines, and deliverables.

Solution Design & Collaboration

• Work closely with engineering teams to design scalable solutions aligned with utility business requirements.

• Ensure solutions are technically feasible and compliant with industry standards.

Testing & Validation

• Define test scenarios and acceptance criteria.

•Participate in UAT, validating solutions against utility business needs.

Project & Post-Go-Live Support

•Support deployment and post-deployment activities.

•Assist in issue triaging and production support for utility applications.

What Makes You the Perfect Fit?

Education

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field.

Experience

•Minimum 8+ years of experience as a Business Analyst.

•Hands-on experience working on Utility / Energy domain projects is mandatory.

Technical Skills

•Familiarity with SQL, Java, JavaScript, Python or similar technologies.

•Experience with JIRA / Azure DevOps (ADO), Confluence, or similar tools.

•Strong skills in data analysis, data modeling, and process mapping. Soft Skills

•Strong analytical and problem-solving abilities.

•Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

•Experience working in Agile / Scrum environments.

Preferred Qualifications

•Business Analysis certifications such as ECBA, CBAP, PMI-PBA.

•Prior experience in Utility, Energy, Power, or related regulated industries.

•Exposure to Tolling, Collections, Finance, or Billing systems is an added advantage.

•Basic understanding of project management and cross-functional coordination.

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.

About Oddr

Oddr is an AI-powered revenue-intelligence platform for the legal industry, helping law firms modernize

billing, collections, reconciliation, and revenue forecasting across the full invoice-to-cash lifecycle.

Why this role exists

We're looking for a seasoned Senior QA Engineer with 6–8 years of experience in complex, enterprise-

scale software to join our Agile product team and be a quality champion embedded across the full

software development lifecycle — from refining user stories to post-release checks — ensuring we ship

reliable, performant software at pace. With core strengths in understanding applications and business

processes, designing test strategies, test plans and validating acceptance criteria via detailed test

cases. Experience in QA automation is a plus — not the focus.

What you'll do

 Own test strategy and perform end to end execution for complex, multi-module features

 Shape quality upstream. Partner with product and engineering to clarify acceptance criteria

and Definition of Done and raise quality risks while they're still cheap to fix.

 Test new features. Exploratory and scenario-based testing of new functionality

 Own the regression suite end to end - its architecture, conventions, quality bar, and roadmap.

 Drive continuous improvement of QA processes, tools, and standards across the team.

Must-haves

 Ownership mindset - you can take a test suite as your own, set its standards, make and

defend trade-off decisions, and say no when coverage isn't worth it.

 Product and feature literacy - you can look at a feature, reason about what matters to users,

and translate that into the right tests, acceptance criteria, and risk-based priorities.

 Strong exploratory and scenario-based testing - boundary, negative, and edge-case

thinking.

 API testing of REST services and comfort reading Swagger/OpenAPI specs.

 Solid SQL skills for data validation and defect investigation.

 Clear communication and the ability to mentor; comfortable in Agile/Scrum/Kanban.Nice-to-have

 Hands-on browser automation with Playwright (or strong Cypress/Selenium with willingness

to move to Playwright), in TypeScript/JavaScript.

 Comfort with AI-assisted development tooling (Claude Code, Playwright MCP, Copilot) as an

accelerant for writing and self-healing tests.

 Experience building or substantially evolving a test suite from scratch, not just maintaining

one.

 Domain exposure to LegalTech, FinTech, or Billing/AR workflows.

 Awareness of non-functional testing (performance, accessibility, security)

What we offer

Competitive salary, performance bonus, and equity (ESOPs); comprehensive health insurance (self,

spouse, parents, children); flexible remote-first culture.

Job Summary

We are looking for an experienced ETL Tester / Data QA Engineer with strong SQL skills to validate data pipelines, ETL processes, data transformations, and data quality across source and target systems. The candidate should have hands-on experience in writing complex SQL queries, performing data validation, and identifying data discrepancies.

Key Responsibilities

• Perform ETL testing for data extraction, transformation, and loading processes.
• Validate data between source and target systems.
• Write and execute complex SQL queries for data validation and reconciliation.
• Verify data transformations, mappings, joins, aggregations, and business rules.
• Perform data completeness, accuracy, consistency, integrity, and duplicate checks.
• Validate incremental and full data loads.
• Test ETL workflows, batch jobs, and data pipelines.
• Identify, document, and track defects using tools such as JIRA.
• Analyze production data issues and support root-cause analysis.
• Prepare test scenarios, test cases, test data, and execution reports.
• Work closely with developers, data engineers, business analysts, and other QA teams.
• Participate in regression, integration, system, and end-to-end testing.

Required Skills

• Strong hands-on experience in ETL/Data Warehouse Testing.
• Advanced SQL skills, including:
• Joins
• Subqueries
• CTEs
• Window functions
• Aggregations
• Stored procedures
• Data reconciliation
• Knowledge of Data Warehousing concepts such as fact and dimension tables, star/snowflake schemas, and slowly changing dimensions (SCD).
• Experience with ETL tools such as Informatica, Talend, SSIS, DataStage, or similar.
• Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
• Good understanding of SDLC/STLC and defect life cycle.
• Experience with Agile/Scrum methodologies.

Good to Have

• Experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP.
• Knowledge of tools such as Databricks, Azure Data Factory, AWS Glue, or dbt.
• Experience with API testing or data pipeline automation.
• Basic knowledge of Python for test/data validation automation.
• Experience testing large-volume datasets and complex data migrations.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or a related field.
• Strong analytical and problem-solving skills.
• Good communication and documentation skills.

Work collaboratively with other developers and other product teams members to craft production ready features that have Quality built-in from inception

Collaborate with business analysts, product owners to confirm the requirements if they are not clear.

Be comfortable having technical conversations with the wider technology teams in Australia, Manila and India.

Good English communication is must.

Design solution for modules and execute them. Should be able to design and architect solutions with help of diagrams

Good at writing code which is testable, divided into clean and small modules.

Good at using ci-cd tools like

Jenkins, Harness for the purpose of

deploying code changes.

4+ years of proven experience as an Fullstack Developer primarily in javascript background

Must have experience in design and development of automation frameworks such as Javascript, Typescript, Nodejs, reactjs, Nextjs, Graphql, PostgresDB. If not postgres then they should have good amount of experience in working in SQL DB server.

Should be confident running CI/CD pipelines for testing/deploying their work

Exposure to teams with engineering practices including DevOps, high levels of automation and infrastructure as code Excellent communication skills

Strong Senior Developer – PL/SQL, SQL & ETL (Microsoft SSIS) Profile

2

Mandatory (Experience 1) – Must have minimum 5+ years of strong hands-on experience in PL/SQL and SQL development, including complex stored procedures, functions, queries, joins, data manipulation, and query/performance optimization.

3

Mandatory (Experience 2) – Must have strong hands-on experience in ETL development using Microsoft SSIS, including building, maintaining, optimizing, and troubleshooting SSIS packages for large-volume data movement and transformation.

4

Mandatory (Experience 3) – Must have solid experience working with Data Warehousing concepts and architectures, including data models, fact/dimension structures, ETL data flows, and enterprise reporting/data warehouse environments.

5

Mandatory (Experience 4) – Must have experience managing batch jobs, scheduling, and data pipelines, ensuring timely and reliable execution of enterprise ETL workflows.

6

Mandatory (Experience 5) – Must have hands-on experience in production support for SSIS/ETL and data warehouse jobs, including monitoring job execution, troubleshooting failures, performing root cause analysis, and implementing preventive fixes.

7

Mandatory (Experience 6) – Must have experience with data quality, validation, and troubleshooting, including identifying and resolving data discrepancies/issues affecting downstream reports, dashboards, and analytics.

8

Mandatory (Experience 7) – Must have experience with unit, integration, and regression testing of SQL, PL/SQL, and ETL components, along with strong documentation of technical designs, data mappings, data flows, and deployment processes.

9

Mandatory (Location) – Must be willing to work in a hybrid model from a city where Cognizant has an office.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

Hiring for Data Analyst

Exp : 5 - 7 yrs

Edu : BE/B.Tech

Work Location : Noida WFO

Skills :

Expertise in SQL Server, including database design, performance tuning, query optimization, and security.

Hands-on experience developing ETL solutions using SSIS, Azure Data Factory (ADF), and Python.