Full Stack Engineer

Senior Full Stack Developer / Lead Engineer (AI-Native, AWS Scale)

Location: Mumbai

Experience: 7+ Years

Employment Type: Full-time

Budget: ₹18–20 LPA

Working Days: Monday to Friday

About the Role

We are looking for a highly experienced Senior Full Stack Developer / Lead Engineer who combines strong software engineering fundamentals with an AI-native approach to development.

The ideal candidate will have deep expertise in Golang and/or Node.js, strong frontend skills in React.js / Next.js, and hands-on experience designing and scaling production-grade systems on AWS.

You should be someone who uses modern AI development tools such as ChatGPT, OpenAI Codex, Claude, Gemini, Cursor, GitHub Copilot, Windsurf, or similar platforms to improve engineering productivity, code quality, testing, debugging, architecture, and delivery speed.

Key Responsibilities

Full Stack Engineering

• Design, develop, and maintain scalable web applications using Golang and/or Node.js.
• Build high-performance frontend applications using React.js, Next.js, and TypeScript.
• Develop secure REST APIs, GraphQL APIs, and event-driven backend services.
• Implement authentication, authorization, RBAC, SSO, OAuth, and JWT-based security flows.
• Design modular, reusable, scalable frontend and backend architectures.
• Define scalable data models and robust API contracts.

AI-Augmented Engineering

• Make AI development tools an integral part of the daily engineering workflow.
• Use tools such as ChatGPT, OpenAI Codex, Claude, Gemini, Cursor, GitHub Copilot, and Windsurf for:
• Code generation
• Debugging and troubleshooting
• Refactoring
• Architecture brainstorming
• Test-case generation
• Documentation
• Migration and modernization
• Performance optimization
• Infrastructure automation
• Critically evaluate AI-generated code for correctness, scalability, security, and maintainability.
• Develop AI-assisted engineering workflows and internal productivity accelerators.

AWS & Cloud Architecture

Design, deploy, monitor, and optimize production systems on AWS, with hands-on experience in:

Compute: EC2, ECS/Fargate, EKS, Lambda

Networking: VPC, Route 53, ALB/NLB, CloudFront, API Gateway, NAT Gateway, VPC Peering, PrivateLink

Databases: RDS, PostgreSQL/MySQL, Aurora, DynamoDB, Redis/ElastiCache

Storage: S3, EFS

Observability: CloudWatch, X-Ray, OpenSearch/ELK, Grafana, Prometheus

Security: IAM, Secrets Manager, KMS, WAF, Shield, Security Groups, GuardDuty

Infrastructure & DevOps: Terraform, CloudFormation/CDK, Docker, Kubernetes, CI/CD

Scale & Performance Engineering

• Build and optimize systems handling high traffic and large-scale workloads.
• Implement caching, CDN optimization, load balancing, horizontal scaling, and auto-scaling.
• Design asynchronous and event-driven architectures using Kafka, SQS, RabbitMQ, or similar technologies.
• Optimize database queries, indexing, partitioning, replication, and overall database performance.
• Identify and resolve memory leaks, performance bottlenecks, and production issues.
• Drive AWS infrastructure and cloud-cost optimization.
• Design and evolve scalable microservices architectures.

Required Skills

Backend

• Strong expertise in Golang and/or Node.js.
• Experience with NestJS, Express, or Fastify is an advantage.
• Strong understanding of concurrency, asynchronous systems, distributed architecture, API design, and security best practices.

Frontend

• Strong expertise in React.js, Next.js, and TypeScript.
• Experience with Redux, Zustand, Context API, or similar state-management solutions.
• Strong understanding of SSR, ISR, SSG, component architecture, frontend performance, and observability.

Databases

• Strong knowledge of PostgreSQL and/or MySQL.
• Experience with DynamoDB/NoSQL and Redis.
• Understanding of indexing, query tuning, partitioning, replication, and database scaling.

DevOps & Platform Engineering

• Hands-on experience with Docker and Kubernetes.
• Experience with CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.
• Experience with Infrastructure as Code.
• Strong understanding of cloud deployment, monitoring, security, and production operations.

AI Engineering Mindset

• Proven experience using AI tools in software development.
• Strong prompt-engineering skills for development workflows.
• Ability to validate and secure AI-generated code.
• Understanding of the limitations, risks, and responsible use of AI in enterprise engineering environments.

Nice to Have

• Experience building SaaS platforms.
• BFSI, fintech, or enterprise product experience.
• Multi-tenant architecture experience.
• Mobile API/backend development experience.
• Security-first engineering mindset.
• Strong performance-engineering background.
• Experience with RAG systems, LLM integrations, AI agents, vector databases, MCP ecosystem, or AI observability.

Experience Required

• 7+ years of software engineering experience.
• 3+ years of full-stack product development experience.
• 3+ years of hands-on AWS production architecture experience.
• Proven experience working with high-scale production systems.
• Experience mentoring engineers and taking ownership of technical decisions.
• Demonstrated experience improving system performance, scalability, reliability, or cloud costs.

What We're Looking For

We are looking for someone who:

• Ships fast but thinks deeply.
• Uses AI as a leverage tool, not a crutch.
• Understands systems and architecture—not just frameworks.
• Can independently debug and resolve production issues.
• Balances speed, scalability, security, reliability, and cost.
• Can architect scalable systems from day one.
• Is comfortable taking technical ownership and mentoring other engineers.

Compensation & Work Details

Salary: ₹18–20 LPA

Location: Mumbai

Experience: 7+ Years

Employment Type: Full-time

Working Days: Monday to Friday