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We are looking for an experienced Full-Stack Developer to join our team, focusing on a
Vue 3 / Node.js / TypeScript stack. You will be responsible for the end-to-end development, from
designing the database to implementing cross-platform user interfaces.
Location - Mumbai/Pune
Required Experience & Skills
- Minimum of 3 years of professional experience in a similar role.
- Vue 3 & TypeScript: Expert-level proficiency with the Vue 3 Composition API and strongly typed applications.
- Quasar Framework: Preferable to have Hands on experience building responsive and performant applications using the Quasar ecosystem for web and cross-platform targets.
- Node.js: Strong ability to design, develop, and maintain secure, scalable backend
- services.
- REST APIs: Demonstrated experience in building well-documented and efficient RESTful APIs.
- MySQL: Expert knowledge of database schema design, writing optimised queries, and ensuring data integrity.
- A solid understanding of core software development principles, debugging, and performance optimization.
- Proficiency with Git for version control and collaborative development workflows.
We're looking for a capable and motivated DevOps Engineer with experience working on MERN stack, to take ownership of an already deployed web-based platform. You'll manage infrastructure, monitor performance, handle deployments, and execute minor bug fixes and aesthetic changes.
The application is built on Node.js, React, and MongoDB, hosted on a Linux environment, and integrated with Google Maps APIs. We're not a large team - yet - but our product is live and scaling. This is a rare opportunity to be the central technical anchor in a growing operation.
Key Responsibilities
- Manage production Linux servers, firewalls, SSL, ports, and domains
- Deploy updates and maintain the Node.js + React app using GitHub
- Handle backups, patches, and routine server maintenance
- Debug and resolve minor code issues (backend and UI-level)
- Perform minor enhancements like UI color/icon changes
- Ensure application uptime and respond to critical outages when required
Requirements
- Experience deploying and maintaining MERN stack apps
- Comfortable working in Linux CLI and managing infrastructure
- Able to handle deployments, GitHub workflows, and SSH-based setups
- Self-sufficient, resourceful, and proactive in learning/fixing independently
- Experience with MongoDB setup (local or remote) and user access configuration
- Familiarity with Google Maps API integration
Nice-to-Haves
- Familiarity with CI/CD, GitHub Actions, Docker, or automation tools
- Prior experience with Google Maps or similar integrations.
- Next.js, TypeScript, Go/RUST, PostgreSQL, Apache Kafka
- Experience working in small teams or early-stage tech environments
- Comfortable using tools AI-like or documentation to solve problems independently
Work Expectations
- This is not a round-the-clock monitoring role, but flexibility is expected during emergencies or urgent fixes.
- You'll have broad control and independence, but must be capable of owning the application end-to-end.

Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
Role Overview:
As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.
Skip the wait and get noticed faster by completing our AI-powered screening. Click this link to start your quick interview. It only takes a few minutes and could be your shortcut to landing the job! -https://bit.ly/LT_Python
What You'll Do:
At LearnTube, we’re pushing the boundaries of Generative AI to revolutionize how the world learns. As a Backend Engineer, your roles and responsibilities will include:
- Ship Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
- Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
- Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
- Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
- Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
- Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
- Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
- Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.
What makes you a great fit?
Must-Haves:
- 3+ yrs Python back-end experience (FastAPI)
- Strong with Docker & container orchestration
- Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
- SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals
Nice-to-Haves
- k8s at scale, Terraform,
- Experience with AI/ML inference services (LLMs, vector DBs)
- Go / Rust for high-perf services
- Observability: Prometheus, Grafana, OpenTelemetry
About Us:
At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:
- AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
- Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.
Meet the Founders:
LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.
Why Work With Us?
At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:
- Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
- Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
- Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
- Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
- Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
- Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.
We have a product. It works. Real users, real usage.
It's also messy in places, evolving fast, and full of decisions that made sense six months ago but now need to scale.
We're building a Compliance Automation platform and need a Senior Full Stack Developer who wants to own a piece of it — not just work on tickets.
Stack: Node.js, Express, Next.js, Postgresql, OAuth (ElectronJS and Infrastructure knowledge is a bonus)
What this actually looks like:
- you'll pick up modules that work but aren't clean.
- You figure out what's wrong, fix it properly, and extend it without leaving a trap for the next person.
- We're not going to spec everything out for you. Develop, test and deploy even with minimal requirements. That's the point.
You'll fit in if:
- You have 2+ years of previous development experience. (Preferably in a Product-Based SaaS and the tech stack mentioned above.)
- Messy codebases don't scare you, they annoy you just enough to fix them
- You make decisions and move, instead of waiting for alignment
- You've shipped in fast-moving environments and have the scars to prove it
- You care about code that lasts, not just code that ships
Probably not for you if:
- You need a lot of direction to get started
- You think good engineering means complex engineering
- "Senior" to you means less coding, more opinions
We care about outcomes. Did your part hold up? That's the question.
Budget: 5-12LPA open for the right fit.
Job Title: Salesforce Developer
Employment Type: Full-Time (Work from Office)
Location: New Delhi – Jasola District Centre
Company: Vikgol Technologies Pvt. Ltd.
Website: www.vikgol.com
About the Role
We are looking for an experienced and skilled Salesforce Developer to join our growing team. The ideal
candidate will have strong expertise in Salesforce development, a solid understanding of the Software
Development Life Cycle (SDLC), and hands-on experience with modern web technologies and cloud platforms.
Key Responsibilities
● Participate in all phases of the Software Development Life Cycle (SDLC) including requirement
analysis, design, development, testing, deployment, and maintenance.
● Develop and customize Salesforce applications using Sales Cloud and/or Service Cloud.
● Build solutions using both Salesforce Classic and Lightning Experience.
● Design and develop Apex Classes, Apex Triggers, and Visualforce Pages.
● Develop and integrate Lightning Components and ensure seamless system integration.
● Work on backend technologies including Node.js, Express, and cloud platforms like AWS and
Heroku.
● Create and manage reports, dashboards, and analytic snapshots.
● Perform data migration using tools like Import Wizard, Workbench, and Apex Data Loader.
● Handle deployment processes, including change sets, configuration documentation, and
technical documentation.
● Collaborate with cross-functional teams using tools like JIRA, GitHub, and Git.
● Design responsive UI using AngularJS, HTML5, CSS, JavaScript, jQuery, and Bootstrap.
Required Skills & Qualifications
● 5–7 years of hands-on experience in Salesforce Development.
● Strong experience with Apex, Visualforce, Lightning Components, and Salesforce integrations.
● Experience with Sales Cloud or Service Cloud.
● Good understanding of cloud computing platforms like AWS and Heroku.
● Familiarity with version control and project management tools (Git, GitHub, JIRA).
● Strong knowledge of web technologies and frameworks.
● Excellent problem-solving and analytical skills.
Preferred Qualifications
● Salesforce Certified Platform Developer I and/or II certification is a plus.
● Experience working in Agile environments.
Soft Skills
● Strong communication and interpersonal skills
● Confident, presentable, and professional demeanor
● Ability to work independently and in a team environment
Why Join Us?
● Opportunity to work on cutting-edge Salesforce solutions
● Collaborative and growth-oriented work environment
● Exposure to diverse technologies and projects
Job Overview
We are looking for a Salesforce Integration Consultant with hands-on experience in SAP Integration Suite and Salesforce integrations. The ideal candidate should have worked on multiple integration projects and be comfortable handling end-to-end implementation.
Key Responsibilities
- Design, develop, and implement integrations between Salesforce and external systems
- Work on SAP Integration Suite (CPI) for building and managing integrations
- Collaborate with cross-functional teams to gather and understand integration requirements
- Ensure data consistency and smooth data flow across systems
- Troubleshoot and resolve integration issues
- Maintain documentation for integration processes
Required Skills & Experience
- 4–5 years of relevant experience in Salesforce integrations
- Hands-on experience with SAP Integration Suite (CPI)
- Experience working on 2–3 Salesforce integration projects
- Strong understanding of APIs (REST/SOAP), middleware, and integration patterns
- Good problem-solving and debugging skills
Good to Have
- Experience with third-party integration tools
- Knowledge of Salesforce platform (Apex, Lightning, etc.)
Senior Data Engineer (Databricks, BigQuery, Snowflake)
Experience: 8+ Years in Data Engineering
Location: Remote | Onsite (Noida, Gurgaon, Pune, Nagpur, Jaipur, Gandhinagar)
Budget: Open / Competitive
Job Summary:
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.
In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.
Key Responsibilities:
- Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
- ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
- ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
- Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
- Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
- Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
- Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
- Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
- AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.
Technical Requirements:
- Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
- Languages: Expert proficiency in SQL and Python for complex data processing.
- Big Data: Hands-on experience with PySpark and large-scale distributed computing.
- Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
- Cloud Platforms: Deep working knowledge of AWS and Azure.
- Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
- Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
- AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.
Preferred Qualifications:
- Exposure to data governance and cataloging tools (e.g., Unity Catalog).
- Knowledge of performance tuning for massive-scale big data systems.
- Familiarity with real-time data processing frameworks.
- Experience in digital transformation and sustainability-focused data projects.
We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.
Key Responsibilities
- Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
- Manage Active Directory tasks: password resets, access/user management
- Install/configure laptops, desktops, printers, and software
- Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
- Support AWS CloudWatch alerts and basic Linux troubleshooting
- Handle patching, RCA, documentation, and SOP updates
- Manage tickets in ServiceNow/Jira and meet SLA timelines
- Support onboarding/offboarding and escalate complex issues to L2
Required Skills
- 2–3 years in IT Support / Helpdesk / Desktop Support
- Strong in Windows 10/11, Office 365, Active Directory
- Basic exposure to AWS / CloudWatch and Linux/Unix
- Familiarity with ServiceNow/Jira, ITIL/SLA processes
- Knowledge of SIP/VoIP basics is a plus
- Strong communication and troubleshooting skills
We are looking for a Mid-Level .NET Developer to design, develop, and maintain scalable microservices for enterprise applications. The role involves working on high-performance, reliable systems deployed in containerized environments.
Key Responsibilities:
- Develop and maintain scalable .NET microservices
- Build robust Web APIs with proper validation, error handling, and security
- Write unit and integration tests to ensure code quality
- Design portable and environment-agnostic solutions
- Collaborate with cross-functional teams and client stakeholders
- Optimize performance and implement caching strategies
- Follow security best practices for enterprise applications
- Participate in code reviews and maintain coding standards
- Support deployment and troubleshoot issues in client environments
Must-Have Skills:
Core Technical Expertise:
- 4+ years of experience with .NET Core (3.1+) / .NET 5+ and C# (8+)
- Strong hands-on experience with ASP.NET Core Web API & Entity Framework Core
- Experience building REST APIs and middleware
- Strong understanding of SOLID principles, Dependency Injection, Repository pattern
- Experience with unit testing (xUnit / NUnit / MSTest), Moq, integration testing
Microservices & Deployment:
- Hands-on experience with Docker
- Understanding of microservices architecture & distributed systems
- Experience with configuration management (appsettings.json, IConfiguration)
- Knowledge of NuGet and dependency management
Good-to-Have Skills:
Advanced Technical:
- Experience with .NET 6/7/8, Minimal APIs, gRPC, SignalR
- Advanced EF Core, Dapper, database migrations
- Kubernetes and container orchestration
- Cloud platforms: Azure / GCP / Alibaba Cloud
- Message brokers: Azure Service Bus, RabbitMQ, Kafka
- Databases: PostgreSQL, MySQL, MongoDB, Cassandra
- API Gateways: Azure API Management, Kong
Development & Operations:
- CI/CD tools: Azure DevOps, Jenkins, GitHub Actions
- Monitoring: Application Insights, Serilog, Prometheus
- Security: HTTPS, CORS, input validation, secure coding
- Background services: Hangfire, Quartz.NET
Client-Facing Experience:
- Experience in service-based organizations
- Ability to adapt to multiple domains
- Understanding of industry standards and compliance
We are looking for a Mid-Level .NET Developer to design, develop, and maintain scalable microservices for enterprise applications. The role involves working on high-performance, reliable systems deployed in containerized environments.
Key Responsibilities:
- Develop and maintain scalable .NET microservices
- Build robust Web APIs with proper validation, error handling, and security
- Write unit and integration tests to ensure code quality
- Design portable and environment-agnostic solutions
- Collaborate with cross-functional teams and client stakeholders
- Optimize performance and implement caching strategies
- Follow security best practices for enterprise applications
- Participate in code reviews and maintain coding standards
- Support deployment and troubleshoot issues in client environments
Must-Have Skills:
Core Technical Expertise:
- 4+ years of experience with .NET Core (3.1+) / .NET 5+ and C# (8+)
- Strong hands-on experience with ASP.NET Core Web API & Entity Framework Core
- Experience building REST APIs and middleware
- Strong understanding of SOLID principles, Dependency Injection, Repository pattern
- Experience with unit testing (xUnit / NUnit / MSTest), Moq, integration testing
Microservices & Deployment:
- Hands-on experience with Docker
- Understanding of microservices architecture & distributed systems
- Experience with configuration management (appsettings.json, IConfiguration)
- Knowledge of NuGet and dependency management
Good-to-Have Skills:
Advanced Technical:
- Experience with .NET 6/7/8, Minimal APIs, gRPC, SignalR
- Advanced EF Core, Dapper, database migrations
- Kubernetes and container orchestration
- Cloud platforms: Azure / GCP / Alibaba Cloud
- Message brokers: Azure Service Bus, RabbitMQ, Kafka
- Databases: PostgreSQL, MySQL, MongoDB, Cassandra
- API Gateways: Azure API Management, Kong
Development & Operations:
- CI/CD tools: Azure DevOps, Jenkins, GitHub Actions
- Monitoring: Application Insights, Serilog, Prometheus
- Security: HTTPS, CORS, input validation, secure coding
- Background services: Hangfire, Quartz.NET
Client-Facing Experience:
- Experience in service-based organizations
- Ability to adapt to multiple domains
- Understanding of industry standards and compliance
Key Responsibilities:-
- Design, build, and enhance Salesforce applications using Apex, Lightning Web Components (LWC), Visualforce, and SOQL.
- Implement integrations with external systems using REST APIs and event-driven messaging (e.g., Kafka).
- Collaborate with architects and business analysts to translate requirements into scalable, maintainable solutions.
- Establish and follow engineering best practices, including source control (Git), code reviews, branching strategies, CI/CD pipelines, automated testing, and environment management.
- Establish and maintain Azure DevOps-based workflows (repos, pipelines, automated testing) for Salesforce engineering.
- Ensure solutions follow Salesforce security, data modeling, and performance guidelines.
- Participate in Agile ceremonies, providing technical expertise and leadership within sprints and releases.
- Optimize workflows, automations, and data processes across Sales Cloud, Service Cloud, and custom Salesforce apps.
- Provide technical mentoring and knowledge sharing when required.
- Support production environments, troubleshoot issues, and drive root-cause analysis for long-term reliability.
- Stay current on Salesforce platform updates, releases, and new features, recommending adoption where beneficial.
Required Qualifications:-
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 4+ years of Salesforce development experience with strong knowledge of Apex, Lightning Web Components, and Salesforce APIs.
- Proven experience with Salesforce core clouds (Sales Cloud, Service Cloud, or equivalent).
- Strong hands-on experience with API integrations (REST/SOAP) and event-driven architectures (Kafka, Pub/Sub).
- Solid understanding of engineering practices: Git-based source control (Salesforce DX/metadata), branching strategies, CI/CD, automated testing, and deployment management.
- Familiarity with Azure DevOps repositories and pipelines.
- Strong knowledge of Salesforce data modeling, security, and sharing rules.
- Excellent problem-solving skills and ability to collaborate across teams.
Preferred Qualifications:-
- Salesforce Platform Developer II certification (or equivalent advanced credentials).
- Experience with Health Cloud, Financial Services Cloud, or other industry-specific Salesforce products.
- Experience implementing logging, monitoring, and observability within Salesforce and integrated systems.
- Background in Agile/Scrum delivery with strong collaboration skills.
- Prior experience establishing or enforcing engineering standards across Salesforce teams.
Job Title: AWS DevOps Engineer (MLOps)
We are looking for a highly skilled AWS + MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and pipelines on AWS. The ideal candidate will have strong expertise in DevOps practices, cloud architecture, and MLOps frameworks, along with solid Python programming skills.
Job Description:
We are looking for an experienced AWS DevOps Engineer to join our team. You will be responsible for building and optimising CI/CD pipelines, managing AWS infrastructure, and automating tasks using AWS services.
Key Responsibilities:
- CI/CD Pipelines: Develop CI/CD pipelines with AWS CodePipeline, build ECR images, and update services on ECS.
- Automation: Create Python Lambda functions for automation and AWS Batch jobs for GPU processing.
- Infrastructure Management: Manage AWS infrastructure using Terraform (IAM roles, RDS, Lambda, etc.) and deploy microservices on EKS with ALB Ingress.
- Data Processing: Work with AWS Step Functions and EMR for data workflows; troubleshoot Spark jobs.
- Microservices: Deploy ATLAS on ECS, and create AWS Glue crawlers for data integration.
- Strong Experience with MLOps is an added advantage.
Required Skills:
- Experience with AWS services (ECS, ECR, Lambda, Step Functions, EMR, Glue, etc.).
- Proficient in CI/CD, Terraform, and Python scripting.
- Experience deploying EKS clusters and using AWS ALB for routing.
- Strong troubleshooting skills with EMR and Spark.
- Understanding/experience with AWS EMR, Sagemaker and Databricks would be added advantage
Preferred:
- AWS Certification (DevOps, Solutions Architect, etc.).
- Experience with microservices and GPU-intensive processes.
- Bachelor’s in Computer Science or equivalent
- Hands-on with C#, .NET MAUI, and ReactJS.
- Experience consuming RESTful APIs and integrating with cloud backends (Azure/AWS).
- Knowledge of secure coding and app signing/deployment processes.
- Familiarity with CI/CD in Azure DevOps and version control (Git).
- Proficiency in API consumption, Git, and mobile deployment workflows.
Director of Engineering — Flights Platform
AI-First Travel Commerce · High-Scale Distributed Systems · Marketplace Infrastructure
🌏 The Problem Space
A flight search looks trivially simple. It is anything but.
Every query you fire triggers a choreography of distributed systems operating in real-time — integrating with a dozen airline GDS/NDC providers, computing dynamic fares across inventory buckets and fare rules, ranking thousands of itineraries by relevance and business intent, and returning a ranked, priced, bookable result set — all in under 100ms.
→ Millions of search queries per minute
→ <100ms end-to-end SLA with external API dependencies
→ High-value transactions — a bug here means a missed booking, not a failed render
→ Pricing errors erode trust faster than any other failure mode
We are rebuilding the Flights platform as a real-time commerce engine for Bharat — AI-native from day zero, built to power both B2C consumer journeys and high-stakes B2B enterprise corridors.
This is a once-in-a-decade opportunity to build national-scale flight infrastructure from first principles.
🧠 What You Will Own
You will own the full Flights platform — systems, architecture, and the teams that build them.
Core System Domains:
•Search Systems — high-throughput, low-latency query pipelines returning ranked, bookable options
•Pricing & Fare Engine — dynamic pricing logic, fare rules, promotional overlays, and real-time validation
•Booking & Ticketing — transaction-critical flows requiring strict consistency, idempotency, and zero data loss
•Airline Integrations — managing unreliable external GDS/NDC APIs with retries, circuit-breakers, and reconciliation
•Post-Booking Flows — cancellations, modifications, refunds — correctness at the margin is non-negotiable
Platform Scope:
•High-scale APIs serving consumer apps, B2B enterprise clients, and third-party partners
•Event-driven state machines managing booking workflows across async boundaries
•Observability and reliability infrastructure across all mission-critical flows
Team Scope:
•Lead 15–30+ engineers across multiple product and platform teams
•Manage Engineering Managers and Principal/Staff engineers
•Own hiring, org design, and technical direction
⚙️ Core Engineering Challenges
This role is fundamentally about making the right trade-offs under uncertainty — at scale.
Latency vs. Accuracy — when do you serve a cached fare vs. call a live airline API?
Availability vs. Consistency — graceful degradation at booking time vs. strict price validation
Cost vs. Performance — when is an external API call worth it vs. a cache hit?
Scalability vs. Simplicity — the best system is the one your team can reason about under incident
🤖 AI-First Engineering
AI is not an afterthought. It is load-bearing architecture.
•LLM-powered pricing intelligence — dynamic fare prediction and demand signals
•RAG pipelines for fare rules, refund policy, and support automation
•Agentic booking resolution workflows — autonomous exception handling at scale
•MCP-based orchestration layers for multi-provider integration
⚖️ Key Responsibilities
Architecture & Distributed Systems
•Design and evolve sub-100ms distributed query systems serving millions of concurrent searches
•Build fault-tolerant booking pipelines with strong consistency and durability guarantees
•Drive Kafka-based event architectures for booking state management
Reliability & Observability
•Own 99.99%+ availability for booking and pricing systems
•Build deep observability — metrics, distributed tracing, structured logging, SLOs/SLAs
•Lead post-incident reviews and drive systemic reliability improvements
Business Partnership
•Partner with Product, Revenue, and Partnerships to translate commercial goals into architecture
•Influence platform roadmap, supplier strategy, and long-term technical investment
🛠️ Technology Stack
Backend: Java · Kotlin · Go · Python
Architecture: Microservices · Event-Driven (Kafka) · gRPC
Data: Redis · Aerospike · DynamoDB · Elasticsearch
Cloud: AWS (EKS, EC2, S3)
Observability: Prometheus · Grafana · OpenTelemetry
👤 Who You Are
•12–16 years in backend/distributed systems; 5+ Years in an Engineering Leadership role, led teams of 15–50 engineers
•Built and scaled large B2C + B2B platforms — Travel Tech, FinTech, or high-scale Consumer
•Deep expertise in real-time systems, marketplace dynamics, and external API integration
•Tier-I institute background strongly preferred (IIT / IIIT / NIT / IISC / BITS / VIT / SRM — CSE/ISE)
🚀 Why This Matters
Build national-scale infrastructure for 1.4 billion people
Sit at the intersection of AI · distributed systems · marketplace economics
Define the future of travel commerce in India — from architecture to product
Role - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
Dear Candidates,
We have an urgent requirement for a Technical Lead – Full Stack role based in Bangalore. Please find the details below:
Work Location (WFO):
Nagar, Bengaluru, Karnataka
Interview Process:
L1 Interview – Face-to-Face at Office
Experience Required:
4-6 Years (Minimum1+ years in Technical Leadership role)
Role Overview:
The candidate will lead the technical vision and architecture of a compliance platform by designing scalable, secure, and high-performance systems. The role involves driving full-stack development across .NET and open-source technologies, enabling unified AI Agent capabilities, Single Authentication (SSO), and a One-UI experience.
Key Responsibilities:
- Define and own end-to-end architecture including micro-frontends, .NET services, FastAPI APIs, and microservices
- Lead full-stack development using .NET and modern open-source technologies
- Modernize legacy systems (ASP.NET, .NET Core, MS SQL Server) to cloud-native architecture
- Design and implement AI Agents, SSO, and unified UI experiences
- Manage sprint planning, backlogs, and collaborate with Product Owners
- Implement CI/CD pipelines using Jenkins, GitHub Actions
- Drive containerization and orchestration using Docker & Kubernetes
- Ensure secure deployments and cloud infrastructure management
- Establish engineering best practices, code reviews, and architecture governance
- Mentor teams on Clean Architecture, SOLID principles, and DevOps practices
Required Skills:
- ReactJS, FastAPI, Python, REST/GraphQL
- ASP.NET, MVC, .NET Core, Entity Framework, MS SQL Server
- Strong experience in Microservices Architecture
- DevOps: CI/CD, Jenkins, GitOps, Docker, Kubernetes
- Cloud Platforms: AWS / Azure / GCP
- AI/ML & LLM tools: OpenAI, Llama, LangChain, etc.
- Security: RBAC, API security, secrets management
Qualifications:
- BE / BTech in Computer Science
Senior Infrastructure Engineer
The Senior Infrastructure Engineer is expected to be a Subject Matter Expert (SME) covering network infrastructure maintenance and support, with a strong focus on cloud technologies.
This role requires an in-depth understanding of how networks operate and are managed, particularly within a hybrid cloud environment which combines both on-premise and cloud-based resources.
This will entail configuring and managing network components, monitoring network performance to identify and resolve bottlenecks or latency issues, troubleshooting any network problems that arise, and implementing robust security measures to safeguard the network from unauthorised access and potential threats.
Responsibilities
You are expected to:
- Configure and maintain various network devices and services (e.g., routers, switches, firewalls, load balancers, VPN) in both on-premise and cloud environments. New installations may occur in the event of an architectural change.
- Support IT infrastructure-related work, including maintaining internet connections, Wi-Fi access points, network upgrades, office builds, expansions, and relocations, with a focus on ensuring seamless connectivity to the cloud environment.
- Actively participate in engaging with Business Stakeholders, internal IT Teams, and Vendors to manage project outcomes related to infrastructure maintenance and upgrades.
- Lead network infrastructure design for architectural changes and actively participate in operation reviews within the Change Management process.
- Lead and participate in problem-solving efforts, service restoration, minimising downtime and outages across both on-premise and cloud infrastructure.
- Demonstrate technical influence within and outside your team, driving best practices and increasing overall productivity in infrastructure management and security.
- Communicate your ideas effectively to achieve the right outcome for your stakeholders and team.
- Actively drive knowledge sharing and continuous improvement within and outside your organization, particularly in the areas of cloud networking and security.
- Liaise with ISPs and vendors to provide required services and infrastructure, including managing direct network connectivity between on-premise and cloud environments.
- Ensure network infrastructure complies with banking industry regulations and standards, addressing vulnerabilities and maintaining a strong security posture across the hybrid environment.
- Manage and support payment infrastructure connectivity, including SWIFT and BCS FAST payment systems, ensuring secure and reliable connectivity within the cloud environment and to external partners.
Must Have Skills
Required Qualifications
- Bachelor's degree in computer science, software engineering, information technology, or a related field, with 5+ years of experience in a medium to large enterprise infrastructure environment, with significant experience in cloud infrastructure.
- Extensive experience in the design, implementation (for architectural changes and new requirements), and troubleshooting of routing, switching, security (firewalls, VPNs, intrusion detection/prevention systems), and wireless LAN in both on-premise and cloud environments.
- Strong understanding and practical experience with cloud networking services (e.g., VPC, Subnets, Route Tables, Security Groups, NACLs, Transit Gateway, Direct Connect or similar cloud connectivity solutions).
- Solid knowledge of security best practices and technologies for both on-premise and cloud environments.
- Project management and ITIL service operation experience, with demonstrable practical skills.
- Willingness to learn new technologies and systems, and the ability to adapt to a fast-paced, changing environment, particularly in the cloud computing landscape.
- Strong customer service and English communication skills, with the ability to prioritise and multitask.
- In-depth knowledge of network infrastructure vulnerabilities and regulatory compliance within the banking industry.
- Good understanding of cloud platforms, such as AWS, Azure, and GCP.
- Holds one or more industry-recognised network or security certifications, such as CCNP, JNCIP, NSE4, NSE5, or cloud-specific security certifications.
Nice to Have Skills
- Experienced in infrastructure automation using scripting languages like Python, Go, Perl, or Bash.
- Possesses a good understanding of Site Reliability Engineering (SRE) principles and practices in the context of infrastructure management.
- Knowledgeable in IaC (Terraform), DevOps and CI/CD practices to optimise infrastructure operations and deployments in the cloud.
- Excellent stakeholder management skills, with the ability to clearly communicate technical concepts to non-technical stakeholders, including cloud infrastructure concepts.
- Embraces a progressive, forward-thinking mindset and a positive attitude towards change and innovation, especially in adopting new cloud technologies and security practices.
About Wissen Technology
Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.
For more details:
Website: www.wissen.com
Wissen Thought leadership : https://www.wissen.com/articles/
LinkedIn: Wissen Technology
Role: Java Backend Developer with AWS
Key Responsibilities
● Design & Development: Build robust, scalable, and maintainable backend services using Java 17+ and the Spring Boot ecosystem.
● API Design: Develop and document RESTful for consumption by web and mobile frontends.
● Database Management: Optimize complex queries and design schemas for relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, DynamoDB) databases.
● Microservices Architecture: Contribute to the migration or maintenance of microservices, ensuring high availability and low latency.
● Code Quality: Perform thorough code reviews and write comprehensive unit, integration, and functional tests (JUnit, Mockito).
● Cloud & DevOps: Deploy and manage applications in AWS using Docker and Kubernetes.
● Collaboration: Work closely with Frontend Developers, Product Managers to translate business requirements into technical specifications.
Required Technical Skills
● Java Mastery: Deep understanding of Core Java, Multithreading, and Stream API.
● Frameworks: Extensive experience with Spring Boot, Spring Security, and Spring Data JPA/Hibernate.
● Cloud Experience: Proficiency with cloud-native services (e.g., AWS Lambda, S3, RDS, or SQS).
● Messaging: Experience with message brokers like Apache Kafka for asynchronous processing.
● CI/CD: Hands-on experience with Jenkins, GitLab CI, or GitHub Actions.
● Version Control: Expert-level knowledge of Git and branching strategies.
Qualifications & Soft Skills
● Experience: 5+ years of professional experience in backend development.
● Problem Solving: Ability to debug complex production issues and performance bottlenecks.
● Communication: Excellent verbal and written communication skills—vital for a remote/hybrid contractor setup.
● Adaptability: Proven ability to quickly learn new codebases and business domains.
Full-Stack Developer (Backend-Focused)
We are seeking a seasoned Full-Stack Developer with strong expertise in backend engineering using Python and Golang. In this role, you will take ownership of backend systems while contributing to the development of modern, responsive frontend interfaces. The focus will be on building secure, scalable, and high-performance applications, with emphasis on API development, database engineering, and cloud deployment.
Key Responsibilities
- Develop and enhance backend services using Python frameworks such as Django or FastAPI
- Design, build, and maintain RESTful APIs and microservices
- Work extensively with relational and NoSQL databases, including PostgreSQL, MySQL, and MongoDB
- Collaborate with frontend developers to integrate user-facing elements with backend logic
- Implement efficient, secure, and scalable application architectures
- Troubleshoot and resolve software defects across different environments
- Optimize performance and reliability of backend services
- Write clean, maintainable, and well-tested code following best practices
- Contribute to DevOps activities, including CI/CD pipelines and containerization
Required Skills & Qualifications
- 6+ years of experience in full-stack or backend-focused development
- Strong proficiency in Python with hands-on experience in frameworks like Django or FastAPI
- Solid understanding of SQL and NoSQL databases, including data modeling and query optimization
- Familiarity with modern frontend technologies such as React, Vue, or Angular
- Experience with Docker, Kubernetes, and at least one cloud platform (AWS, Azure, or GCP) is preferred
- Strong understanding of system design, distributed systems, and microservices architecture
- Experience with Git and CI/CD automation pipelines
- Excellent problem-solving skills and ability to work collaboratively
Lead Cloud Reliability Engineer
Job Responsibilities
● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.
● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment
● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA
● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues
● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues
● Identify recurring issues, perform root cause analysis and propose/implement preventive actions
● Follow change management procedure to identify, record and implement changes
● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters
● Identify the recurring manual activities and contribute to automation
● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.
● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.
● Build, maintain, and monitor conguration standards.
● Ensuring critical system security through using best-in-class cloud security solutions.
Qualifications
● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.
● Specialize in one or two cloud deployment platforms: AWS, GCP
● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)
● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)
● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)
● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef
● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
● Good analytical, communication, problem solving, and learning skills.
● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.
● Strong service aitude and a commitment to quality.
● Willingness to work in shifts.
Summary:
We are seeking a highly skilled Python Backend Developer with proven expertise in FastAPI to join our team as a full-time contractor for 12 months. The ideal candidate will have 5+ years of experience in backend development, a strong understanding of API design, and the ability to deliver scalable, secure solutions. Knowledge of front-end technologies is an added advantage. Immediate joiners are preferred. This role requires full-time commitment—please apply only if you are not engaged in other projects.
Job Type:
Full-Time Contractor (12 months)
Location:
Remote
Experience:
3+ years in backend development
Key Responsibilities:
- Design, develop, and maintain robust backend services using Python and FastAPI.
- Implement and manage Prisma ORM for database operations.
- Build scalable APIs and integrate with SQL databases and third-party services.
- Deploy and manage backend services using Azure Function Apps and Microsoft Azure Cloud.
- Collaborate with front-end developers and other team members to deliver high-quality web applications.
- Ensure application performance, security, and reliability.
- Participate in code reviews, testing, and deployment processes.
Required Skills:
- Expertise in Python backend development with strong experience in FastAPI.
- Solid understanding of RESTful API design and implementation.
- Proficiency in SQL databases and ORM tools (preferably Prisma)
- Hands-on experience with Microsoft Azure Cloud and Azure Function Apps.
- Familiarity with CI/CD pipelines and containerization (Docker).
- Knowledge of cloud architecture best practices.
Added Advantage:
- Front-end development knowledge (React, Angular, or similar frameworks).
- Exposure to AWS/GCP cloud platforms.
- Experience with NoSQL databases.
Eligibility:
- Minimum 3 years of professional experience in backend development.
- Available for full-time engagement.
- Please excuse if you are currently engaged in other projects—we require dedicated availability.
Job Title : Full Stack Developer (Crypto Exchange)
Experience : 4+ Years
Location : Gurugram & Vadodara (On-site)
Role Overview :
We are looking for a Full Stack Developer with strong expertise in both backend and frontend development, along with exposure to crypto exchange systems or fintech platforms.
In this role, you will work on building high-performance, real-time trading applications, contributing to core systems like order execution, pricing engines, and wallet integrations.
Key Responsibilities :
- Design, develop, and maintain scalable backend services and APIs.
- Build and optimize responsive frontend applications for trading interfaces.
- Work on real-time systems such as order books, pricing engines, and trade execution.
- Integrate with blockchain networks, wallets, and third-party APIs.
- Ensure platform security, performance, and reliability.
- Collaborate with product, design, and DevOps teams for end-to-end delivery.
- Participate in system design, architecture discussions, and code reviews.
Required Skills & Qualifications :
- 4+ years of experience in Full Stack Development.
- Strong expertise in :
- Backend : Node.js and/or Python
- Frontend : React.js and/or Next.js
- Experience with REST APIs and microservices architecture.
- Strong understanding of databases (MongoDB, PostgreSQL, MySQL, etc.).
- Hands-on experience with Docker and cloud platforms (AWS preferred).
- Solid understanding of system design, scalability, and performance optimization.
Preferred (Good to Have) :
- Experience working with a crypto exchange or trading platform.
- Understanding of blockchain fundamentals (Ethereum, Bitcoin, etc.).
- Experience with wallet integrations and on-chain transactions.
- Familiarity with WebSockets and real-time data streaming.
- Knowledge of security best practices in fintech/crypto systems.
Why Join Us ?
- Opportunity to work on a high-impact, real-world crypto exchange.
- Build and scale systems from early-stage to production.
- Work in a fast-paced, ownership-driven environment.
- Exposure to cutting-edge blockchain and trading technologies.
Expected Date of Joining Immediate/ 30 days
What makes Techjays an inspiring place to work
At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.
We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.
Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.
About the role
We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.
You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.
Years of Experience: 3 - 5 years
Location: Coimbatore
Key Skills
Backend Development (Familiar):
- Python
- Django / Flask
- RESTful APIs
- Websockets
Cloud Technologies (Familiar):
- AWS (EC2, S3, Lambda)
- GCP (Compute Engine, Cloud Storage, Cloud Functions)
- CI/CD pipelines with Jenkins / GitLab CI or Github Actions
Databases (Familiar):
- PostgreSQL
- MySQL
- MongoDB
AI/ML (Familiar):
- Basic understanding of Machine Learning concepts
- Assist in building and integrating Agentic AI workflows
- Familiar with RAG
- Vector Databases (Pinecone or ChromaDB or others)
Tools:
- Git
- Docker
- Linux
Roles and Responsibilities
- Develop and maintain backend services using Python and Django/Flask under guidance.
- Assist in building scalable and secure APIs and backend systems for AI-driven applications.
- Write clean, efficient, and maintainable code following best practices.
- Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
- Participate in code reviews, debugging, and performance optimization.
- Support integration of AI/ML components such as LLMs and RAG pipelines.
- Continuously learn and improve technical skills in backend and AI technologies.
What We’re Looking for Beyond Skills
- Builder mindset — you think in systems, not just tickets
- Ownership — you take features from idea to production
- Structured thinking in ambiguous environments
- Clear communication and collaborative approach
- Ability to work in a fast-paced, evolving startup environment
What We Offer
- Competitive compensation
- Paid holidays & flexible time off
- Medical insurance (Self & Family up to ₹4 Lakhs per person)
- Opportunity to work on production-grade AI systems
- Exposure to global clients and high-impact projects
- A culture that values clarity, integrity, and continuous growth
Software Engineer (Backend) – Kotlin & React
About Us
We are a high-agency startup building elegant technological solutions to real-world problems.
Our mission is to build world-class systems from scratch that are lean, fast, and intelligent. We are currently operating in stealth mode, developing deeply technical products involving Kotlin, React, Azure, AWS, GCP, Google Maps integrations, and algorithmically intensive backends.
We are building a team of builders — not ticket takers. If you want to design systems, make real decisions, and own your work end-to-end, this is the place for you.
Role Overview
As a Software Engineer, you will take full ownership of building and scaling critical product systems. You will work directly with the founding team to transform complex real-world problems into scalable technical solutions.
This role is ideal for engineers who enjoy thinking deeply about systems, writing clean code, and building products from 0 → 1.
Key Responsibilities
System Development & Architecture
- Design, develop, and maintain scalable backend services, primarily using Kotlin or JVM-based languages (Java/Scala).
- Architect systems that are robust, high-performance, and production-ready.
- Apply strong data structures, algorithms, and system design principles to solve complex engineering challenges.
Full Stack Development
- Build fast, maintainable front-end applications using React.
- Ensure seamless integration between frontend systems and backend services.
Cloud Infrastructure
- Design and manage cloud architecture using AWS, Azure, and/or Google Cloud Platform (GCP).
- Implement scalable deployment pipelines, monitoring, and infrastructure optimization.
Product & Technical Collaboration
- Work closely with founders and product stakeholders to translate business problems into technical solutions.
- Contribute actively to product and engineering roadmap decisions.
Performance Optimization
- Continuously improve system performance, scalability, and reliability.
- Implement efficient algorithms and system optimizations to gain a technical advantage.
Engineering Excellence
- Write clean, well-tested, and maintainable code.
- Maintain strong engineering standards across the codebase.
Required Skills & Qualifications
We value capability and ownership over years of experience. Whether you have 10 years of experience or none, what matters is your ability to build and solve hard problems.
Core Requirements
- Strong computer science fundamentals (Data Structures, Algorithms, System Design).
- Experience with Kotlin or JVM languages such as Java or Scala.
- Experience building modern React applications.
- Hands-on experience with cloud platforms (AWS / Azure / GCP).
- Experience designing and deploying scalable distributed systems.
- Strong problem-solving and analytical thinking.
Preferred / Bonus Skills
- Experience with Google Maps APIs or geospatial integrations.
- Prior startup experience.
- Contributions to open-source projects.
- Personal side projects demonstrating strong engineering ability.
Ideal Candidate
You will thrive in this role if you:
- Take ownership of problems, not just tasks.
- Are comfortable working in high-ambiguity environments.
- Have a builder mindset and enjoy creating systems from scratch.
- Learn quickly and execute with speed and precision.
This Role May Not Be For You If
- You prefer strict task assignments and detailed specifications before starting work.
- You want to focus only on coding tickets without product involvement.
- You prefer large teams with multiple layers of management.
Why Join Us
- Build 0 → 1 products with massive ownership.
- Work in a flat organization with no unnecessary hierarchy.
- Collaborate directly with founders and core product builders.
- Your contributions will have immediate and visible impact.
- Flexible remote work environment.
- Opportunity to shape the technology, culture, and future of the company.
If you are passionate about building powerful systems, solving complex problems, and owning your work, we would love to hear from you.
Job Title: Senior Java Architect (12+ Years Experience)
Location: Remote (2 PM - 11 PM IST)
Experience: 12+ Years
Salary: ₹15L - ₹21L/yr
Employment Type: Contract (1 Year Extendable)
Job Description:
We are looking for a highly experienced Java Architect to join our team on a long-term contract basis. The ideal candidate should have deep expertise in designing scalable enterprise applications using Java and microservices architecture. The candidate should be capable of driving architecture decisions, mentoring development teams, and delivering high-performance solutions for enterprise-grade systems.
Key Responsibilities:
- Design and architect scalable enterprise applications using Java and microservices
- Lead system design and architecture decisions for complex applications
- Develop and implement microservices architecture patterns
- Drive technical architecture across multiple development teams
- Mentor and guide senior developers and engineering teams
- Handle high-traffic, scalable enterprise application architecture
- Collaborate with stakeholders to define technical requirements and roadmaps
- Ensure system performance, scalability, and reliability
- Review code and architecture designs for best practices
- Work with Spring Boot, Spring Cloud, and modern Java frameworks
Required Skills & Qualifications:
- 12+ years of hands-on experience in Java development and architecture
- Strong expertise in microservices architecture and design patterns
- Deep knowledge of system design principles and enterprise architecture
- Hands-on experience with Spring Boot and Spring Cloud
- Experience designing scalable, high-performance enterprise applications
- Proficiency in RESTful APIs, messaging systems, and API gateways
- Strong understanding of cloud platforms (AWS, Azure, or GCP)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Knowledge of database design (SQL and NoSQL)
- Expertise in JVM tuning and performance optimization
Technical Skills:
- Java 11+ (Java 17/21 preferred)
- Spring Boot, Spring Cloud, Spring Security
- Microservices architecture and design patterns
- RESTful APIs, GraphQL, gRPC
- Apache Kafka, RabbitMQ, or similar messaging systems
- Docker, Kubernetes, CI/CD pipelines
- PostgreSQL, MySQL, MongoDB, or similar databases
- Redis, Elasticsearch, or caching solutions
- Maven, Gradle, Git
Additional Requirements:
- Ability to work 2 PM - 11 PM IST (US/Europe Shift Timing)
- Immediate availability or short notice period (15 days max)
- Strong problem-solving and analytical skills
- Excellent communication skills for stakeholder collaboration
- Experience mentoring technical teams
- Contract commitment for a minimum of 1 year (extendable)
Good to Have (Preferred Skills):
- Experience with reactive programming (WebFlux, Project Reactor)
- Cloud certification (AWS Solutions Architect, etc.)
- Experience with observability tools (Prometheus, Grafana)
- Knowledge of domain-driven design (DDD)
- Experience with multi-cloud or hybrid cloud architectures
- Freelance/contract experience (preferred)
What We Offer:
- 1.2 ~ 1.8 LPM fixed contract salary
- Long-term contract (1-year extendable)
- Remote work with a flexible 2-11 PM IST schedule
- Work with cutting-edge enterprise technologies
- Opportunity to architect large-scale systems
- Collaborate with experienced engineering teams
- Immediate start for the right candidates
Who we are:
MangoApps is a modern, cloud-based platform that unifies content, communication, training, and operations for the entire organization in one single platform. Unlike tens of point solutions, our integrated approach provides a unified employee experience that saves time and company costs.
As large enterprises invest in MangoApps, we need strategic and high-energy techno-functional talent, who will create, develop, and maintain one-on-one relationships with our enterprise customers. In this role, you will be responsible for onboarding large enterprise accounts on to MangoApps platform. Driving ongoing implementation and providing world class support would be one of your key KRA's. You will also partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for these customers.
The Opportunity:
- You will be an expert on MangoApps platform driving the end-to-end implementation to meet the customer technical and business requirements. You will also serve as the primary point of contact for the customer, managing customer expectations and ensuring high-level customer satisfaction.
- You will work like a Forward Deployed Engineer (FDE), with an ability to work directly in customer environments to diagnose, troubleshoot, and implement solutions in close to real time by collaborating closely with Engineering, DevOps, QA and Product teams.
- You will translate customer-specific requirements into scalable product improvements and engineering inputs.
- You will participate in project-based, architectural and design discussions to ensure solutions are optimal for customers. You will ensure timely response and resolution to technical and product related incidents.
- You are expected to own support escalations and investigate technical issues and coordinate with engineering and product teams to diagnose problems and take corrective actions for customers.
- Conducting regular status calls and business reviews would be part of your responsibilities as a TAM on the Mango team. You will assess the health of the account by identifying risks and preparing risk mitigation plans to avoid and minimize churn.
- You will proactively update customers about product enhancements, upgrade and ensure necessary action to maintain availability and customer satisfaction.
- You will be responsible for enabling our customers with sound product knowledge. You will be conducting live training sessions for customers in onboarding phase.
What makes you a great fit for our team:
- 5+ years of experience leading technical implementations and ongoing technical relationships requiring ownership and execution of complex, client-facing enterprise projects with senior internal and external stakeholders.
- Effective communication skills including active listening skills, understanding non-verbal signs (even over zoom! ) storytelling and rapport building. Strong exposure with handling US customers.
- Strong customer orientation with an eagerness and ability to tune, tweak and improve a rapidly evolving client engagement process.
- Solid Understanding of Cloud & SaaS Architecture, with Working knowledge of: Cloud environments (AWS/Azure/GCP basics) and System integrations, authentication (SSO, APIs).
- Strong Hands-On Technical Debugging skills with ability to diagnose and troubleshoot issues in live customer environments working with APIs, logs, integrations and cloud environments. You should be adept at Breaking down complex issues, Identify root cause (not just symptoms) and propose practical, implementable fixes.
- Excellent problem-solving skills with an ability to manage multiple, complex, high-priority tasks, and situations across multiple accounts.
- Strong conflict resolution and negotiation skills with a sense of urgency in driving to closure escalations and open technical issues.
- Highly efficient team player, with the ability to work independently to juggle multiple priorities in a fast-paced and fluid environment.
- You thrive in a fast-paced and dynamic environment and are a self-starter who gets things across the finish line.
- Ability to curate training contents and presentations for Product training sessions.
- Prior experience in architecting, developing and seeding customer facing intranets with high value content to drive user adoption is highly desirable.
Why work with us:
- We take delight in what we do, and it shows in the products we offer and ratings of our products by leading industry analysts like IDC, Forrester and Gartner OR independent sites like Capterra
- Be part of the team that has a great product-market fit, solving some of the most relevant communication and collaboration challenges faced by big and small organizations across the globe.
- MangoApps is highly collaborative place and careers at MangoApps come with a lot of growth and learning opportunities. If you're looking to make an impact, MangoApps is the place for you.
- We focus on getting things done and know how to have fun while we do them. We have a team that brings creativity, energy, and excellence to every engagement.
- A workplace that was listed as one of the top 51 Dream Companies to work for by World HRD Congress in 2019
- As a group, we are flat and treat everyone the same.
Benefits:
We are a young organization and growing fast. Along with the fantastic workplace culture that helps you meet your career aspirations, we provide some comprehensive benefits.
- Comprehensive Health Insurance for Family (Including Parents) with no riders attached.
- Accident Insurance for each employee.
About You:
- Self-motivated: You can work with a minimum of supervision and be capable of strategically prioritizing multiple tasks in a proactive manner.
- Driven: You are a driven team player, collaborator, and relationship builder whose infectious can-do attitude inspires others and encourages great performance in a fast-moving environment.
- Entrepreneurial: You thrive in a fast-paced, changing environment and you're excited by the chance to play a large role.
- Passionate: You must be passionate about online collaboration and ensuring our clients are successful; we love seeing hunger and ambition.
- Thrive in a start-up mentality with a whatever it takes attitude.
We are seeking a Technical cum Pre‑Sales Engineer who can effectively bridge technology and business, with a strong focus on driving sales growth. The role involves supporting the sales team through technical expertise, solution design, customer engagement, and on‑field activities such as events and customer meetings. Strong knowledge of Microsoft and AWS infrastructure is essential, and experience with AI and Security solutions adds significant weightage.
This is a hybrid role based in Chennai, offering a mix of on-site customer engagement and remote work flexibility.
Key Responsibilities
Pre‑Sales & Revenue Growth
- Work closely with the sales team to identify opportunities, qualify leads, and close deals
- Understand customer business requirements and recommend suitable cloud, infrastructure, AI, and security solutions
- Deliver technical presentations, product demos, proposals, and proof‑of‑concepts
- Assist in preparing technical inputs for RFPs, RFQs, and solution proposals
- Actively contribute to achieving and exceeding sales and revenue targets
Technical Responsibilities
- Design and propose solutions using Microsoft and AWS platforms
- Provide strong technical expertise on:
- Microsoft 365 & Exchange (Online / Hybrid)
- Active Directory, Azure AD / Entra ID
- Azure infrastructure and core services
- AWS compute, storage, networking, and security services
- Demonstrate practical understanding of AI services (Azure AI, AWS AI/ML services) and relevant business use cases
- Recommend and explain security solutions, including:
- Identity & access management
- Cloud security
- Email, endpoint, and data security
- Compliance and governance best practices
Travel, Events & Customer Engagement
- Travel will be required for:
- Customer meetings
- Industry events, expos, and roadshows
- Partner and networking events
- Represent the organization in customer engagements and technical discussions
- Build strong relationships with customers, partners, and internal teams
Location & Collaboration
- Preferred location: Chennai
- Open to candidates willing to relocate to Chennai
- Work closely with delivery, support, and operations teams to ensure smooth post‑sales handover
Required Skills & Qualifications
- Bachelor’s degree in Engineering, IT, Computer Science, or equivalent experience
- 3–6 years of experience in Pre‑Sales, Solution Consulting, or Technical Sales
- Strong hands‑on or conceptual understanding of:
- Microsoft Exchange & Active Directory
- Azure and AWS infrastructure
- Cloud networking and security fundamentals
- Ability to translate complex technical concepts into business‑friendly solutions
- Excellent communication, presentation, and stakeholder management skills
- Sales‑oriented mindset with the ability to support deal closures
Preferred / Added Advantage
- Experience with AI, automation, or modern cloud workloads
- Exposure to Microsoft Defender, Sentinel, AWS IAM, Security Hub
- Microsoft and/or AWS certifications (Azure Administrator, Solutions Architect, etc.)
- Experience working with System Integrators, MSPs, or Cloud Service Providers
Compensation & Benefits
- Fixed + Variable pay structure, with variable incentives linked directly to performance and sales contributions
- Growth‑oriented role with exposure to advanced cloud, AI, and security solutions
- Opportunity to work with enterprise and mid‑market customers
- Performance‑driven career progression

at Prismberry Technologies Pvt Ltd (acquired by eYantra Ventures Limited)
Role Overview
We are seeking a highly skilled Senior Java Developer to join our engineering team. In this role, you will be responsible for designing and developing high-performance, scalable, and resilient microservices. You will work at the intersection of complex backend logic, real-time data streaming, and cloud infrastructure to deliver seamless user experiences.
Key Responsibilities
- System Design: Architect and develop robust, scalable, and maintainable backend services using Java and Spring Boot.
- Scalability: Build distributed systems capable of handling high traffic and large datasets with low latency.
- Database Management: Design and optimize complex schemas in both Relational (SQL) and NoSQL databases, ensuring data integrity and performance.
- Event-Driven Architecture: Implement real-time messaging and data pipelines using Apache Kafka.
- Cloud Infrastructure: Deploy and manage services on cloud platforms (AWS or GCP), leveraging managed services to improve system reliability.
- Collaboration: Work closely with cross-functional teams to define requirements, participate in code reviews, and mentor junior developers.
Technical Requirements
- Core Java: Deep expertise in Java (8 or higher), including concurrency, multithreading, and JVM tuning.
- Frameworks: Strong experience with Spring Boot, Spring Cloud, and Hibernate/JPA.
- Messaging: Proven experience with Apache Kafka for event streaming and asynchronous processing.
- Cloud: Proficiency in AWS (EC2, S3, RDS, Lambda) or GCP (GCE, GCS, Cloud SQL, Pub/Sub).
- Databases: Solid knowledge of PostgreSQL, MySQL, or Oracle, alongside NoSQL experience (e.g., MongoDB, Cassandra, or Redis).
- DevOps & Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions).
Preferred Qualifications
- Experience with Microservices Architecture and Domain-Driven Design (DDD).
- Understanding of distributed caching strategies and load balancing.
- Strong problem-solving skills and a "clean code" mentality.
Work mode- WFO 5 days
Location: Hyderabad (Onsite)
Experience- 7+
- K8s Hands-on experience
- Linux Troubleshooting Skills
- Experience on OnPrem Servers and Management
- Helm
- Docker
- Ingress and Ingress Controllers
- Networking Basics
- Proficient Communication
Must-Have Skills:
- Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
- Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
- Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
- Security & compliance knowledge for regulated industries.
- Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD.
Who You Are
- A Kubernetes expert who thrives on scalability, automation, and security.
- Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
- Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
- A problem solver who simplifies complexity and drives cloud-native adoption.
What You’ll Do
- Architect & automate Kubernetes solutions for airgap and multi-region clusters.
- Optimize CI/CD pipelines & cloud-native deployments.
- Work with open-source projects, selecting the right tools for the job.
- Educate & guide teams on modern cloud-native infrastructure best practices.
- Solve real-world scaling, security, and infrastructure automation challenges.
Why Join Us?
- Work on high-impact Kubernetes projects in regulated industries.
- Solve real-world automation & infrastructure challenges with cutting-edge tools.
- Grow in a team that values learning, open-source contributions, and innovation.
What are we looking for?
- You have a good understanding and work experience in AKS, Kubernetes, and EKS.
- You are able to manage multi region clusters for disaster recovery.
- You have a good understanding of AWS stack.
- You have experience of production level in Kubernetes.
- You are comfortable coding/programming and can do so whenever required.
- You have worked with programmable infrastructure in some way - Built a CI/CD pipeline, Provisioned infrastructure programmatically or Provisioned monitoring and logging infrastructure for large sets of machines.
- You love automating things, sometimes even what seems like you can’t automate - such as one of our engineers used Ansible to set up the Ubuntu workstation and runs a playbook every time something has to be installed.
- You don’t throw around words such as “high availability” or “resilient systems” without understanding at least their basics. Because you know that words are easy to talk about but there is a fair amount of work to build such a system in practice.
- You love coaching people - about the 12-factor apps or the latest tool that reduced your time of doing a task by X times and so on. You lead by example when it comes to technical work and community.
- You understand the areas you have worked on very well but, you are curious about many systems that you may not have worked on and want to fiddle with them.
- You know that understanding applications and the runtime technologies gives you a better perspective - you never looked at them as two different things.
What you will be learning and doing?
- You will be working with customers trying to transform their applications and adopt cloud-native technologies. The technologies used will be Kubernetes, Prometheus, Service Mesh, Distributed tracing and public cloud technologies or on-premise infrastructure.
- The problems and solutions are continuously evolving in space but fundamentally you will be solving problems with simplest and scalable automation.
- You will be building open source tools for problems that you think are common across customers and industry. No one ever benefited from re-inventing the wheel, did they?
- You will be hacking around open source projects, understand their capabilities, limitations and apply the right tool for the right job.
- You will be educating the customers - from their operations engineers to developers on scalable ways to build and operate applications in modern cloud-native infrastructure.
About Us:
We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.
Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.
What You'll Do
- Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
- Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
- Craft scalable React UIs that power ops dashboards and parent-facing apps.
- Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
- Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
- Shape the engineering roadmap: propose, prioritise, and ship features with founders.
- Mentor juniors while executing solo on high-impact bets—no layers, just results.
We're Looking For
- 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
- Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
- Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
- Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
- Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.
This Role Is Not For You If…
- You need structured roadmaps, PM hand-holding, or big-tech process.
- Comfort > impact: stable salary over equity upside and chaos.
- You've never worn all hats (dev, ops, product) in a resource-constrained environment.
Why Join Us
- Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
- Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
- Hungry culture: we hire hustlers scaling from 700 to 10k students—your wins are visible daily.
- Hungry to Leap? Apply now!
Angular Full Stack Developer (7+ Years)
Location: Ahmedabad / Pune (Onsite)
Experience: 7+ Years
Compensation: No bar for the right candidate
What You’ll Be Building
You’ll work on enterprise-grade, high-performance web applications using Angular and modern serverless backend architecture on AWS. This is not basic CRUD work—expect complex data-heavy systems, scalable UI, and real-world impact.
What You’ll Do
- Build and scale Angular-based frontend systems with strong architecture principles
- Develop and integrate REST APIs + serverless backend workflows
- Work on data-heavy UI using AG Grid & AG Charts
- Implement RxJS, state management, and performance optimization
- Write clean, testable code with Jest & Cypress
- Work with AWS serverless stack (Lambda, API Gateway, DynamoDB, etc.)
- Manage infrastructure using Terraform (IaC)
- Contribute to architecture decisions, code reviews, and best practices
- Work in a fast-paced Agile environment
Must-Have Skills (Don’t Apply If Missing)
- 7+ years in full-stack / frontend-heavy development
- Strong expertise in Angular + TypeScript
- Hands-on with RxJS and scalable frontend architecture
- Experience with AG Grid / AG Charts (or similar complex UI libs)
- Experience with Jest + Cypress testing
- Solid understanding of AWS serverless architecture
- Experience with Terraform (IaC)
Good to Have (Will Give You an Edge)
- CI/CD experience (GitHub Actions or similar)
- Exposure to AI dev tools (Copilot, etc.)
- Backend experience (Node.js / NestJS)
- Experience working in large distributed teams
Why This Role Matters
You won’t be another developer pushing tickets. You’ll be working on scalable systems, real architecture decisions, and performance-critical applications.
Who Should Apply
People who:
- Can own modules end-to-end
- Don’t need hand-holding
- Care about clean code + performance
- Have actually built complex systems—not just tutorials
Who Should NOT Apply
- Less than 7 years experience
- Only basic Angular knowledge
- No real exposure to production-scale applications
Company Overview:
Planview has one mission: to build the future of connected work with market-leading portfolio management and work management solutions. Planview is a recognized innovator and industry leader, our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.
As a Sr CloudOps Engineer II, you will oversee teams of Engineers and be a champion for configuration management, technologies in the cloud, and continuous improvement. You will work closely with global leaders to ensure that our applications, infrastructure, and processes are scalable, secure, and supportable. By leveraging your production experience and development skills you will work hand in hand with Engineers (Dev, DevOps, DBOps) to design and implement solutions that improve delivery of value to customers, reduce costs, and eliminate toil.
Responsibilities (What you will do):
- Guide the professional development of Engineers and support the teams to accomplish business goals
- Work closely with leaders in the Israel to align on priorities and architect, deliver, and manage our products
- Build systems that are secure, scalable, and self-healing.
- Manage and improve deployment pipelines.
- Triage and remediate production issues.
- Participate in on-call rotations for escalations.
Qualifications (What you will bring):
- Bachelor's degree is CS or equivalent experience in related field.
- 2+ years managing Engineering teams.
- 8+ years of experience as a site reliability or platform engineer, preferably in a fast-scaling environment
- 5+ years administering Linux and Windows environments.
- 3+ years programming / scripting experience (e.g., Python, JavaScript, PowerShell)
- Strong technical knowledge in OS’s (Linux and Windows), virtualizations, storage systems, networking, and firewall implementations
- Maintaining production environments in the On Premise (90%) and Cloud (10%) (e.g., AWS, Google Cloud, Azure)
- Solid understanding of networking principles and how it applies to data flow and security.
- Automating deployments of cloud based available services (e.g., AWS EC2 / RDS, Docker, Kubernetes)
- Experience managing CI/CD infrastructures, with a strong proficiency in platforms like bitbucket and Jenkins to streamline deployment pipelines and ensure efficient software delivery.
- Management of resources using Infrastructure as Code tools (e.g., CloudFormation, Terraform, Chef)
- Knowledge of observability tools such as LogicMonitor, New Relic, Prometheus, and Coralogix, as well as their implementation.
- Worked within Agile and Lean software development teams.
- Experience working in globally distributed teams.
- Ability to look on the big picture and manage risks.
Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
1. Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
2. Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Why you’ll love being a ‘Searcian’
NOT your ‘usual’ management consultancy; we ‘solve differently’.
- We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
- The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
- No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
- No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
- No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
- Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
- Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
- Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
- You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
- Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
Responsibilities:
We want you to show off your technical skills, but we also want you to be creative and think outside the box. Here are some of the ways you'll be flexing your tech muscles:
- Use your superpowers to solve complex technical problems, combining your excellent abstract reasoning ability with problem-solving skills.
- Efficient in at least one product or technology of strategic importance to the organisation, and a true tech ninja.
- Stay up-to-date with emerging trends in the field, so that you can keep bringing fresh ideas to the table.
- Implement robust and extensible code modules as per guidelines. We love all code that's functional (Don’t we?)
- Develop good quality, maintainable code modules without any defects, exhibiting attention to detail. Nothing should look sus!
- Manage assigned tasks well and schedule them appropriately for self and team, while providing visibility to the mentor and understanding the mentor's expectations of work. But don't be afraid to add your own twist to the work you're doing.
- Consistently apply and improve team software development processes such as estimations, tracking, testing, code and design reviews, etc., but do it with a funky twist that reflects your personality.
- Clarify requirements and provide end-to-end estimates. We all love it when requirements are clear (Don’t we?)
- Participate in release planning and design complex modules & features.
- Work with product and business teams directly for critical issue ownership. Isn’t it better when one of us understands what they say?
- Feel empowered by managing deployments and assisting in infra management.
- Act as role model for the team and guide them to brilliance. We all feel secured when we have someone to look up to.
Qualifications:
We want to make sure you're a funky, tech-loving person with a passion for learning and growing. Here are some of the things we're looking for:
- You have a Bachelor's or Master’s degree in Computer Science or a related field, but you also have a creative side that you're not afraid to show.
- You have excellent abstract reasoning ability and a strong understanding of core computer science fundamentals.
- You're proficient with web programming languages such as HTML, CSS, JavaScript with at least 5+ years of experience, but you're also open to learning new languages and technologies that might not be as mainstream.
- You’ve 5+ years of experience with backend web framework Django and DRF.
- You’ve 5+ years of experience with frontend web framework React.
- Your knowledge of cloud service providers like AWS, GCP, Azure, etc. will be an added bonus.
- You have experience with testing, code, and design reviews.
- You have strong written and verbal communication skills, but you're also not afraid to show your personality and let your funky side shine through.
- You can work independently and in a team environment, but you're also excited to collaborate with others and share your ideas.
- You've demonstrated your ability to lead a small team of developers.
- And most important, you're also excited to learn about new things and try out new ideas.
This is an mid-level position, you'll get to flex your coding muscles, work on exciting projects, and grow your skills in a fast-paced, dynamic environment. So, if you're passionate about all things tech and ready to take your skills to the next level, we want YOU to apply! Let's make some magic happen together!
We are located in Delhi. This post may require relocation.
Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.
Key Responsibilities:
Generative AI & Agentic Systems
- Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
- Develop intelligent systems with memory, planning, and reasoning capabilities
- Implement prompt engineering, context optimization, and evaluation frameworks
- Build observable and reliable multi-agent architectures
Traditional ML & Computer Vision
- Develop ML pipelines (forecasting, recommendation, classification, regression)
- Build production-grade computer vision solutions (document AI, image analysis)
- Perform feature engineering, model optimization, and benchmarking
MLOps & Production Engineering
- Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
- Build scalable APIs, microservices, and data pipelines
- Monitor models, detect drift, and implement A/B testing frameworks
Knowledge Solutions
- Architect knowledge graphs and semantic search systems
- Implement hybrid retrieval (vector + keyword search)
Client Collaboration
- Present technical solutions to enterprise clients
- Collaborate with architects, data engineers, and business teams
Required Skills & Experience
- 3–6 years of hands-on ML Engineering experience
- Strong Python and software engineering fundamentals
- Experience shipping production ML systems on cloud (GCP preferred)
- Experience across GenAI, Traditional ML, Computer Vision
- MLOps experience and RAG-based systems
Preferred
- GCP Professional ML Engineer certification
- Knowledge graphs / semantic search experience
- Experience in regulated industries (Healthcare / BFSI)
- Open-source or technical publications
We are seeking a skilled and passionate ML Engineer with 3+ years of experience to join our team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices.
This role requires hands-on experience with Azure cloud services, Databricks, and MLflow to build robust and scalable ML solutions.
Responsibilities
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Collaborate with data scientists to transition models from research and development into production-ready systems.
- Build and maintain scalable data pipelines for ML model training and inference using Databricks.
- Implement and manage the ML model lifecycle using MLflow, including experiment tracking, model versioning, and model registry.
- Deploy and manage ML models in production environments on Azure, leveraging services such as:
- Azure Machine Learning
- Azure Kubernetes Service (AKS)
- Azure Functions
- Support MLOps workloads by automating model training, evaluation, deployment, and monitoring processes.
- Ensure the reliability, performance, and scalability of ML systems in production.
- Monitor model performance, detect model drift, and implement retraining strategies.
- Collaborate with DevOps and Data Engineering teams to integrate ML solutions into existing infrastructure and CI/CD pipelines.
- Document model architecture, data flows, and operational procedures.
Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
Experience
- Minimum 3+ years of professional experience as an ML Engineer or in a similar role.
Required Skills
- Strong proficiency in Python for data manipulation, machine learning, and scripting.
- Hands-on experience with machine learning frameworks, such as:
- Scikit-learn
- TensorFlow
- PyTorch
- Keras
- Demonstrated experience with MLflow for:
- Experiment tracking
- Model management
- Model deployment
- Proven experience working with Microsoft Azure cloud services, specifically:
- Azure Machine Learning
- Azure Databricks
- Related compute and storage services
- Solid experience with Databricks for:
- Data processing
- ETL pipelines
- ML model development
- Strong understanding of MLOps principles and practices, including:
- CI/CD for ML
- Model versioning
- Model monitoring
- Model retraining
- Experience with containerization and orchestration technologies, including:
- Docker
- Kubernetes (especially AKS)
- Familiarity with SQL and data warehousing concepts.
- Experience working with large datasets and distributed computing frameworks.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Nice-to-Have Skills
- Experience with other cloud platforms (AWS or GCP).
- Knowledge of big data technologies such as Apache Spark.
- Experience with Azure DevOps for CI/CD pipelines.
- Familiarity with real-time inference patterns and streaming data.
- Understanding of Responsible AI principles, including fairness, explainability, and privacy.
Certifications (Preferred)
- Microsoft Certified: Azure AI Engineer Associate
- Databricks Certified Machine Learning Associate (or higher)
About the company:
At Inteliment, we help organizations turn data into powerful decisions. With two decades of proven expertise, we work with global customers to solve complex business problems using advanced data and analytics solutions. Our ACE – Analytical Centre of Excellence brings together some of the best minds in data engineering, analytics, and AI to build next-generation decision intelligence platforms. If you are passionate about data engineering, modern data platforms, and solving real business problems, this role will give you the opportunity to work on global enterprise data ecosystems.
About the role
We are seeking a highly skilled Data Architect with strong hands-on expertise in Data Engineering and/or Data Visualization tools, having 6+ years of experience in the pure Data Analytics domain. The ideal candidate will be responsible for architecting scalable data solutions, guiding technical teams, and ensuring robust data pipelines, analytics frameworks, and visualization ecosystems aligned with business objectives.
Requirements:
- Bachelor’s or master’s degree in computer sciences, Information Technology, or a related field.
- 6+ years of hands-on experience in Data Analytics domain.
- Strong experience in designing enterprise data solutions.
- Proven experience in handling large-scale data systems.
- Experience in client-facing roles is preferred.
- Certifications with related field will be an added advantage
Technical Skills
✔ Data Engineering Stack
- Python / PySpark / SQL
- ETL Tools (e.g., Informatica, Talend, SSIS, or equivalent)
- Cloud Platforms (AWS / Azure / GCP)
- Data Warehousing (Snowflake, Redshift, BigQuery, etc.)
- Big Data Technologies (Spark, Hadoop – preferred)
✔ Visualization & BI Tools (At least one advanced tool mandatory)
- Power BI
- Tableau
- Qlik
- Looker or equivalent
✔ Database Technologies
- SQL (MySQL, PostgreSQL, SQL Server, Oracle)
- NoSQL (MongoDB, Cassandra – preferred)
✔ Additional Preferred Skills
- Data Modeling (Star/Snowflake schema)
- API integrations
- CI/CD for data pipelines
- Version control (Git)
- Agile methodology exposure
Soft Skills
- Leadership: Strong leadership and mentoring capabilities to guide technical teams.
- Communication: Excellent communication skills for collaborating with cross-functional teams and stakeholders.
- Problem-Solving: Analytical mindset with a keen attention to detail.
- Adaptability: Ability to manage shifting priorities and requirements effectively.
- Team Collaboration: Strong interpersonal skills for fostering a collaborative work environment.
Responsibilities:
✔ Solution Architecture & Design
- Design end-to-end data architecture solutions including data ingestion, transformation, storage, and visualization.
- Architect scalable and high-performance data pipelines.
- Define best practices, standards, and governance frameworks for data analytics projects.
✔ Data Engineering
- Build and optimize ETL/ELT pipelines.
- Work with structured and unstructured datasets.
- Design and implement data lakes, data warehouses, and modern data platforms.
- Ensure data quality, integrity, and performance tuning.
✔ Data Visualization & Analytics
- Architect and implement enterprise-level dashboards and reporting solutions.
- Define data models optimized for BI tools.
- Guide teams in building intuitive, performance-driven visualizations.
- Translate business requirements into scalable analytics solutions.
✔ Technical Leadership
- Provide technical direction to data engineers, BI developers, and analysts.
- Conduct code reviews and enforce architectural standards.
- Collaborate with cross-functional teams including business stakeholders and delivery teams.
- Mentor junior team members and drive capability building.
✔ Stakeholder Engagement
- Participate in client discussions, solution presentations, and requirement workshops.
- Provide effort estimations and solution proposals.
- Act as a technical escalation point.
About Superclaims
Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.
Role: Python Backend Developer
We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.
What you'll do
- Build and maintain scalable backend systems and APIs
- Develop intelligent data extraction pipelines using AI/ML
- Design and implement agentic workflows with LangGraph
- Design efficient database schemas and optimize queries in PostgreSQL
- Integrate and work with LLMs (OpenAI, Gemini, or similar)
- Collaborate with product, frontend, and data teams to deliver end-to-end features
- Write clean, tested, and well-documented code
Must-have skills
- Strong proficiency in Python and a modern web framework (FastAPI or similar)
- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)
- Solid understanding of RESTful API design and best practices
- Hands-on experience or strong familiarity with LangGraph
- Experience working with LLMs (OpenAI, Gemini, or similar providers)
- Comfort with Git/version control and collaborative development workflows
Nice-to-have skills
- Experience with Docker and containerized deployments
- Knowledge of Redis for caching or background tasks
- Exposure to cloud platforms (GCP, AWS, or Azure)
- Experience with vector databases and retrieval-augmented generation
- Basic prompt engineering skills
- Experience with object storage (S3/MinIO)
What we're looking for
- 1+ years of Python backend development experience (open to exceptional freshers)
- Fast learner with genuine curiosity about AI/ML and automation
- Prior startup experience preferred
- Ownership mindset, bias for action, and comfort with ambiguity
- Ready to relocate to Hyderabad (work location)
How to apply
Please share:
- Your resume
- GitHub/Portfolio link
- A brief note on why you're interested in AI-powered automation and Superclaims
Who are we ?
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.
The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.
Tech Superpowers
End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.
The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.
Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.
Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.
The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table
Experience & Relevance
Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads
Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.
Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.
Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time
analytics architectures.
Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.
The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.
About the role
We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.
What Success Looks Like
- You write, review and ship code in production. Your employer or client's success depends on the software you build
- You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
- You are a self-starter and enjoy working with minimal supervision
- You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
- You take pride in the product you create and the code that you write
- Your team can rely on you to get them out of a sticky situation in production
- You can work well on a team of sales executives, designers and engineers in an in-person environment
- You are passionate about the enterprise software development lifecycle and feel strongly about improving it
- You are a first principles engineer who exercises curiosity about the technologies you work with
- You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
- You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
- You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
- You exercise an optimistic mindset and are willing to go the extra mile to make things work
Areas of Ownership
Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.
Required Technical Experience (MUST HAVE):
- Expertise in Python -
- Deep hands-on experience with Terraform -
- Proficiency in Kubernetes -
- Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -
Additional experience with some of the following:
- Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
- Programming languages (JavaScript, TypeScript, Java, C++, Go)
- RPCs (REST, gRPC or GraphQL)
- Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
- CI/CD (Jenkins, CircleCI, GitLab or similar)
- Source code versioning tools such as Git or Perforce
- Microservices architecture
Ways to stand out
- Familiarity with AI Platforms
- Extensive experience with building enterprise-scale applications with >99% SLAs
- Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP
You'll Get...
- Competitive Salary
- Medical Insurance Benefits
- Employer Provident Fund contributions with Gratuity after 5 years of service
- Company-sponsored US onsite trips for high performers, based on business requirements
- Potential international transfer support for top performers, based on business requirements
- Technology (hardware, software, trainings, etc.) equipment and/or allowance
- The opportunity to re-shape an entire industry
- Beautiful office environment
- Meal allowance and/or food provision on site
Culture
Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.
Virtual Hiring Drive Site Reliability Engineer (SRE)
Date: 25th April 2026, Saturday (Single-Day Drive)
Mode: 100% Virtual - All interview rounds on the same day
Experience: 3 to 7 Years
Note : We are looking for quick joiners who can join us within 30 days.
About the Role
We are looking for a Site Reliability Engineer who understands the realities of running production systems at scale. If building reliable, scalable, and observable systems excites you, you'll enjoy working with us.
At One2N, we solve One-to-N problems where proof of concept is already built and the real challenge lies in scalability, maintainability, performance, and reliability.
You will work closely with startups and mid-sized clients, helping them architect production-grade infrastructure and observability systems.
Key Responsibilities
- Design and build platform engineering solutions with a self-serve model
- Architect and optimize observability systems (metrics, logs, traces)
- Implement monitoring, logging, alerting & dashboards
- Build and optimize CI/CD pipelines
- Automate repetitive operational and infrastructure tasks (IaC-first approach)
- Improve Developer Experience (DX)
- Guide teams on SRE best practices & on-call processes
- Participate in code reviews and mentor engineers
- Contribute to cloud-native and platform engineering initiatives
Must-Have Skills
- 3 - 7 years experience in DevOps / SRE / Platform Engineering
- Strong hands-on with Kubernetes on AWS
- Expertise in observability tools like Datadog / Honeycomb / ELK / Grafana / Prometheus
- Experience with Docker & Microservices architecture
- Infrastructure as Code using Terraform / Pulumi
- Strong Linux troubleshooting skill
- Programming knowledge in Golang / Python / Java
- Automation & scripting expertise
Job Title: Lead Data Architect (AI & Cloud)
Company: Risosu Consulting
About the Role
Risosu Consulting is hiring a Lead Data Architect / Crew Manager for one of our global clients in the Cloud, Data & AI space. This role focuses on designing scalable data architectures and driving AI-led transformation across modern cloud platforms.
Key Responsibilities
- Design data strategies, architectures, and scalable cloud solutions
- Build and optimize data pipelines, data lakes, and warehouses
- Collaborate with cross-functional teams to enable AI/ML use cases
- Lead client engagements and translate business needs into data solutions
- Mentor and manage a team of consultants as a Crew Manager
Requirements
- 5+ years of experience in Data Architecture / Engineering
- Strong expertise in cloud platforms (GCP/AWS/Azure)
- Experience with data modeling, ETL, and data governance
- Exposure to tools like BigQuery, dbt, Airbyte, or Power BI
- Strong communication skills and stakeholder management
Why Join via Risosu?
- Opportunity to work on high-impact global projects
- Fast-growing, entrepreneurial environment
- Clear growth path with learning & certification support
- Work with cutting-edge Cloud, Data & AI technologies
If you’re passionate about building scalable data systems and leading teams, let’s connect.
6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS
● Excellent Engineering skills in designing and implementing scalable solutions
● Good knowledge of CI/CD Pipeline with strong focus on TDD
● Strong communication skills and ownership
● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.
● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings
● Proficiency in PL/SQL and Database development.
Strong in J2EE & OOPS Design Patterns.
Dear Candidates,
Exp: 3+ years
NP: Immediate to 7 days
Location: Bangalore, Chennai
5 days week
Job Description
Function: Software Engineering → Full-Stack Development
Fintech/BFSI domain experience.
- React.js
- Node.js
- AWS
Requirements:
- Mandatory Skill: Strong Experience in React JS, Node JS, and AWS -3+ years of relevant experience from Current Projects.
- Expertise with at least one Object-oriented JavaScript Framework (React, Angular, Ember, Dojo, Node, etc. ).
- Good to have hands-on experience in Python development.
- Proficiency with Object Oriented Programming, multi-threading, data serialization, and REST API to connect applications to back-end services.
- Proficiency in Docker, Kubernetes (k8s), Jenkins, and GitHub Actions is essential for this role.
- Proven cloud development experience AWS.
- Understanding of IT life cycle methodology and processes.
- Experience in understanding and Leading Enterprise Platforms/Solutions.
- Experience working with Microservices/Service Oriented Architecture Frameworks.
- Good Understanding of Middleware technologies.
- Possess expertise in at least one unit testing framework.
- Education: Avoid UG Degree alone and look only at B. E/B. Tech/MCA/M. Sc.
Must-Have Skills:
- Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
- Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
- Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
- Security & compliance knowledge for regulated industries.
- Preferred: Experience with GKE, RKE, Rook-Ceph and certifications like CKA, CKAD.
Who You Are
- A Kubernetes expert who thrives on scalability, automation, and security.
- Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
- Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
- A problem solver who simplifies complexity and drives cloud-native adoption.
What You’ll Do
- Architect & automate Kubernetes solutions for airgap and multi-region clusters.
- Optimize CI/CD pipelines & cloud-native deployments.
- Work with open-source projects, selecting the right tools for the job.
- Educate & guide teams on modern cloud-native infrastructure best practices.
- Solve real-world scaling, security, and infrastructure automation challenges.
Why Join Us?
- Work on high-impact Kubernetes projects in regulated industries.
- Solve real-world automation & infrastructure challenges with cutting-edge tools.
- Grow in a team that values learning, open-source contributions, and innovation.
Job role: Systems Engineer (L2)
Location: Remote/Bengaluru
Experience: 3-6 years
About the Role:
We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.
Key Responsibilities:
— Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.
— Manage and optimize networking components — routers, switches, firewalls, load balancers.
— Handle incident response — monitor systems, identify issues, resolve production problems.
— Implement DevOps best practices — CI/CD pipelines, automation, containerization.
— Collaborate with backend and product teams on system architecture.
— Performance tuning — ensure high availability and reliability of platform.
— Security management — implement security protocols and compliance standards.
Required Skills:
Technical:
- Linux/Unix administration — strong fundamentals
- Networking — TCP/IP, DNS, BGP, VoIP protocols
- Cloud platforms — AWS/GCP/Azure — minimum 2 years
- DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
- Monitoring tools — Grafana, Prometheus, Kibana, Datadog
- Scripting — Python, Bash, Shell
- Databases — MySQL, PostgreSQL, Redis
Soft skills:
- Strong problem-solving under pressure
- Good communication — English written and verbal
- Team player — collaborative mindset
Good to Have:
- Experience in telecom/CPaaS/cloud communications industry
- Knowledge of VoIP, SIP, RTP protocols
- AI/ML operations experience
- CCNA/AWS certifications
We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.
Key Responsibilities
- Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
- Manage Active Directory tasks: password resets, access/user management
- Install/configure laptops, desktops, printers, and software
- Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
- Support AWS CloudWatch alerts and basic Linux troubleshooting
- Handle patching, RCA, documentation, and SOP updates
- Manage tickets in ServiceNow/Jira and meet SLA timelines
- Support onboarding/offboarding and escalate complex issues to L2
Required Skills
- 2–3 years in IT Support / Helpdesk / Desktop Support
- Strong in Windows 10/11, Office 365, Active Directory
- Basic exposure to AWS / CloudWatch and Linux/Unix
- Familiarity with ServiceNow/Jira, ITIL/SLA processes
- Knowledge of SIP/VoIP basics is a plus
- Strong communication and troubleshooting skills

Mid Size Product Engineering Services Company
This role will report to the Chief Technology Officer
You Will Be Responsible For
* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.
* Leading a team in building a high-performing and scalable SaaS product.
* Conducting code reviews to maintain code quality and follow best practices
* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams
* Developing and building microservices leveraging cloud services
* Working on application security aspects
* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.
* Creating a culture of innovation that enables the continued growth of individuals and the company
* Working closely with Product and Business teams to build winning solutions
* Led talent management, including hiring, developing, and retaining a world-class team
Ideal Profile
* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.
* Proficiency in MERN / Java / Full Stack.
* Led a team in optimizing the performance and scalability of a product
* You have extensive experience with DevOps environment and CI/CD practices and can train teams.
* You're a hands-on leader, visionary, and problem solver with a passion for excellence.
* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.
What's on Offer?
* Exciting opportunity to drive the Engineering efforts of a reputed organisation
* Work alongside & learn from best in class talent
* Competitive compensation + ESOPs























