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

Location: Mumbai

Experience: 7+ Years

Employment Type: Full-time

About the Role

We are looking for a highly experienced Senior Full Stack Developer who is not just a strong engineer, but an AI-native builder—someone who actively leverages modern AI coding tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Windsurf, or similar platforms to accelerate engineering productivity, code quality, testing, and architecture decisions.

This role requires deep backend engineering expertise in Golang or Node.js, strong frontend capabilities in React.js / Next.js, and hands-on cloud architecture experience in AWS at scale.

The ideal candidate has built and optimized production-grade systems handling scale, performance bottlenecks, distributed architectures, and cloud cost optimization.

Key Responsibilities

Full Stack Engineering

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

AI-Augmented Engineering

Use AI development tools as a core part of the engineering workflow.
Utilize AI for code generation, debugging, refactoring, architecture planning, testing, documentation, migrations, performance optimization, and infrastructure automation.
Evaluate AI-generated code for correctness, scalability, security, and maintainability.
Build AI-assisted engineering workflows and productivity accelerators.

Cloud Architecture (AWS)

Hands-on expertise with:

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
GuardDuty

DevOps / Infrastructure

Terraform / CloudFormation / CDK
Docker
Kubernetes
CI/CD Pipelines

Scale & Performance Optimization

Strong production experience in:

High-traffic backend systems
Query optimization
Caching strategies
CDN optimization
Load balancing
Event-driven architectures
Kafka, SQS, RabbitMQ
Microservices architecture
Horizontal scaling
Cost optimization
Performance profiling
Memory leak detection
Bottleneck analysis
Auto-scaling architecture design

Required Skills

Backend

Strong expertise in at least one:

Golang
Node.js (NestJS / Express / Fastify)

Knowledge of:

Concurrency
Asynchronous systems
Distributed architecture
API design
Authentication and security best practices

Frontend

Strong expertise in:

React.js
Next.js
TypeScript
Redux / Zustand / Context API
SSR / ISR / SSG
Performance optimization
Component architecture
Frontend observability

Databases

PostgreSQL / MySQL
DynamoDB / NoSQL
Redis
Indexing
Query tuning
Partitioning
Replication
Scaling strategies

DevOps & Platform Engineering

Docker
Kubernetes
CI/CD
GitHub Actions / GitLab CI / Jenkins
Infrastructure as Code

AI Engineering Mindset

Comfortable using AI tools in production engineering.
Prompt engineering for development workflows.
Understanding limitations of AI-generated code.
Secure use of AI in enterprise environments.

Bonus Skills

RAG Systems
LLM Integrations
Agent Workflows
Vector Databases
MCP Ecosystem
AI Observability

Experience Required

7+ years of software engineering experience.
3+ years of full-stack product development.
3+ years of AWS production architecture experience.
Experience handling large-scale production systems.
Experience mentoring engineers and leading technical decisions.

Nice to Have

SaaS platform development experience.
BFSI, fintech, or enterprise product experience.
Multi-tenant architecture experience.
Mobile API backend development.
Security-first engineering mindset.
Performance engineering expertise.

What We're Looking For

Someone who:

Ships fast but thinks deeply.
Uses AI as leverage, not a crutch.
Understands systems, not just frameworks.
Can debug production issues independently.
Balances speed, scalability, security, and cost.
Can architect for scale from day one.

Benefits

Work on large-scale enterprise products.
Exposure to complex cloud-native architectures.
Collaborative and ownership-driven culture.
Opportunities for learning, growth, and leadership.
Meaningful work with real business impact.