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Sr. MERN Stack Developer

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Onsite

Sr. MERN Stack Developer

TOPS Infosolutions Pvt. Ltd.

Sr. MERN Stack Developer

Skills

SQL QueriesMongoDBNextDockerReactNodeTypescriptReact NativeMicroservicesExpressPostgreSQLMySQLAWS LambdaRedisGraphQLAIAWSGitHubJavascript

3 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,300,000 – ₹1,800,000 / year

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Senior Software Engineer — JavaScript Full-Stack Experience: 4–6 years Location: Ahmedabad (Work from Office)

About The Role We're hiring a senior engineer who can own systems end-to-end on live, production JavaScript/TypeScript applications. You'll work across React frontends, Node backends, and the databases behind them — you don't need to be the deepest expert in every layer, but you should be strong across the stack and able to make architectural calls that hold up.

This role involves real client interaction, technical decision-making, and shipping into production — not just executing tickets. You'll also be someone the mid-level and junior engineers learn from.

What You'll Do

  • Design, build, and maintain scalable full-stack applications running in production
  • Own technical decisions on architecture, data modeling, deployments, and performance trade-offs
  • Debug live issues across the stack, identify bottlenecks, and improve performance
  • Participate in client conversations: scoping, technical discussions, demos, and updates
  • Review code and raise the team's bar — including the judgment to catch when AI-generated code is subtly wrong, overengineered, or a poor fit
  • Mentor junior and mid-level engineers and contribute to team engineering standards
  • Continuously evaluate and adopt tools and practices that improve delivery
  • Work in an Agile / Scrum setup with regular delivery cycles

Must-Have

  • 4–6 years building and shipping production JavaScript/TypeScript applications
  • Strong full-stack ability — genuinely comfortable owning both React frontends and Node backends; can architect a feature from UI to data layer
  • Deep JavaScript and TypeScript — language fundamentals, async patterns, typing discipline, and the ability to teach these to less experienced engineers
  • Strong React — advanced hooks, state management, performance optimization, component architecture, and structuring large apps
  • Strong Node backend — REST (and ideally some GraphQL or real-time) APIs, auth, error handling, and integrating third-party services; experience with Express, Nest, or similar
  • Solid SQL and NoSQL — data modeling across relational and document paradigms; able to pick the right store for the problem and design schemas that hold up under load and change (PostgreSQL, MySQL, MongoDB, or similar)
  • Hands-on AWS — deploying and operating applications, comfortable picking up new services, and debugging issues in production cloud environments
  • System design fundamentals — caching (Redis/Memcache), queues, REST/API design, and an understanding of scaling and reliability trade-offs
  • Track record on live production systems — operating, supporting, and evolving systems, not only greenfield builds or POCs
  • Git workflows in a team — branching, reviews, conflict resolution
  • Day-to-day use of AI coding tools (Cursor, GitHub Copilot, Claude Code, or similar) and a point of view on where they help vs. hurt
  • Strong communication — can explain technical decisions to clients and non-technical stakeholders
  • Independence — breaks down ambiguous problems, designs solutions, and ships without hand-holding

Strong Plus (one or more)

Architecture & Scale

  • Microservices, API gateways, event-driven patterns
  • Caching strategies, queue-based processing, eventual consistency
  • Real-time systems (WebSockets, SSE)

Frontend Depth

  • Next.js (SSR/SSG), advanced performance work, design systems
  • Accessibility and cross-platform/responsive expertise
  • React Native

DevOps / Platform

  • CI/CD pipelines, Docker, infrastructure-as-code
  • Observability and production monitoring

AI Engineering

  • LLM-powered features: RAG, agentic workflows, tool use
  • Vector databases (Pinecone, Weaviate, Qdrant, pgvector)
  • Prompt engineering, evals, and observability for LLM apps

Nice to Have

  • Automated testing depth (unit, integration, e2e)
  • Security fundamentals: auth flows, secrets management, OWASP basics

Skills:- NodeJS (Node.js), React.js, NextJs (Next.js), MongoDB, Express, Amazon Web Services (AWS) and AWS Lambda

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