Full Stack Engineer

Job Description – Senior Full Stack Engineer / Lead Engineer

Location: Mumbai (Candidates based in Mumbai only)

Employment Type: Full-Time

Openings: 1

Experience: 7+ Years

CTC: ₹11 – ₹15 LPA

About the Role

We are looking for a highly experienced Senior Full Stack Engineer / Lead Engineer with strong expertise in modern full-stack development, cloud architecture, and AI-assisted engineering practices. The ideal candidate should have hands-on experience building scalable, production-grade applications and leading technical initiatives across backend, frontend, and cloud infrastructure.

Key Responsibilities

Full Stack Development

• Design, develop, and maintain scalable web applications.
• Develop backend services using Golang and/or Node.js.
• Build responsive, modular, and high-performance frontend applications using React.js and Next.js.
• Develop secure RESTful APIs, GraphQL APIs, and event-driven services.
• Implement authentication, authorization, OAuth, JWT, RBAC, and SSO.
• Design scalable database models and API architecture.

AI-Augmented Engineering

• Utilize AI coding tools such as ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Windsurf, or similar platforms to improve engineering productivity.
• Leverage AI for:
• Code generation
• Debugging
• Refactoring
• Documentation
• Test case generation
• Architecture planning
• Performance optimization
• Infrastructure automation
• Review and validate AI-generated code for security, scalability, and maintainability.
• Build AI-assisted development workflows.

AWS Cloud Architecture

Design, deploy, and optimize applications on AWS using services including:

Compute

• EC2
• ECS/Fargate
• EKS
• Lambda

Networking

• VPC
• Route 53
• API Gateway
• ALB/NLB
• CloudFront
• NAT Gateway
• PrivateLink

Databases

• PostgreSQL
• MySQL
• Aurora
• DynamoDB
• Redis / ElastiCache

Storage

• S3
• EFS

Monitoring & Security

• CloudWatch
• X-Ray
• OpenSearch / ELK
• Grafana / Prometheus
• IAM
• KMS
• Secrets Manager
• WAF
• GuardDuty

Infrastructure

• Docker
• Kubernetes
• Terraform / CloudFormation / CDK
• CI/CD Pipelines

Performance & Scalability

Hands-on experience with:

• High-traffic production systems
• Microservices architecture
• Event-driven systems
• Kafka / RabbitMQ / Amazon SQS
• Load balancing
• Caching strategies
• CDN optimization
• Query optimization
• Auto-scaling
• Performance profiling
• Cost optimization
• Memory leak detection
• Distributed systems

Required Technical Skills

Backend

• Strong expertise in:
• Golang or
• Node.js (NestJS / Express / Fastify)
• Strong understanding of:
• Concurrency
• Distributed systems
• API design
• Authentication & Security

Frontend

• React.js
• Next.js
• TypeScript
• Redux / Zustand / Context API
• SSR / ISR / SSG
• Frontend performance optimization

Databases

• PostgreSQL / MySQL
• DynamoDB / NoSQL
• Redis
• Indexing
• Query tuning
• Partitioning
• Replication
• Database scaling strategies

DevOps

• Docker
• Kubernetes
• GitHub Actions / GitLab CI / Jenkins
• Infrastructure as Code (IaC)
• CI/CD

AI Engineering Mindset

Candidates should demonstrate:

• Practical use of AI tools in software development.
• Prompt engineering for development workflows.
• Understanding of AI limitations.
• Secure use of AI in enterprise applications.

Good to Have

• RAG Systems
• LLM Integrations
• AI Agents
• Vector Databases
• MCP Ecosystem
• AI Observability

Experience Required

• 7+ years of software engineering experience.
• 3+ years of Full Stack development.
• 3+ years of AWS production experience.
• Experience building and scaling production systems.
• Experience mentoring developers and leading technical decisions.

Preferred Qualifications

• Experience building SaaS products.
• Experience with enterprise or fintech products.
• Multi-tenant architecture experience.
• Mobile backend API development.
• Strong focus on security and performance engineering.

Ideal Candidate

The successful candidate should:

• Deliver high-quality software efficiently.
• Apply AI tools effectively while maintaining engineering standards.
• Have strong system design and problem-solving abilities.
• Troubleshoot production issues independently.
• Balance scalability, performance, security, and cost.
• Lead technical discussions and architect scalable solutions.