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

The Role

We are looking for a highly experienced Senior Full Stack Developer who is not just a strong engineer, but an AI-native buildersomeone who actively leverages modern AI coding tools like OpenAI Codex / ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Windsurf, or similar developer AI 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 using:

o Backend: Golang and/or Node.js

o Frontend: React.js / Next.js

Build modular, reusable, high-performance frontend architectures.

Develop secure REST APIs / GraphQL APIs / event-driven backend services.

Implement authentication, authorization, RBAC, SSO, OAuth, JWT flows.

Architect scalable data models and API contracts.

AI-Augmented Engineering

Use AI development tools as a core part of daily engineering workflow:

o OpenAI Codex / ChatGPT

o Claude

o Gemini

o Cursor

o GitHub Copilot

o Windsurf / Codeium / similar

Use AI tools for:

o code generation

o debugging

o refactoring

o architecture brainstorming

o test case generation

o documentation generation

o migration acceleration

o performance optimization

o infrastructure automation

Evaluate AI-generated code critically for correctness, scalability, and security.

Build AI-assisted engineering workflows and internal productivity accelerators.

Hands-on expertise expected 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

Security Groups

GuardDuty

DevOps / Infra

Terraform / CloudFormation / CDK

Docker

Kubernetes

CI/CD pipelines

Scale & Performance Optimization

Candidate must have real production experience in:

Scaling backend systems for high tracic workloads

Query optimization

Caching strategies

CDN optimization

Load balancing

Async/event-driven architectures

Queue systems (Kafka / SQS / RabbitMQ)

Microservices design

Horizontal scaling

Cost optimization

Performance profiling

Memory leak detection

Bottleneck analysis

Auto-scaling architecture design

Examples:

Reduced AWS infra cost by X%

Improved API latency by X%

Scaled platform from X to Y users

Optimized database performance for large datasets

Required Skills

Backend

Strong expertise in at least one:

Golang

Node.js (NestJS / Express / Fastify)

Good knowledge of:

concurrency

async systems

distributed architecture

API design

authentication/security best practices

Frontend

Strong expertise in:

React.js

Next.js

TypeScript

State management (Redux / Zustand / Context API)

SSR / ISR / SSG

performance optimization

component architecture

frontend observability

Databases

Strong understanding of:

PostgreSQL / MySQL

DynamoDB / NoSQL

Redis

indexing

query tuning

partitioning

replication

scaling strategies

DevOps / Platform Engineering

Must be hands-on with:

Docker

Kubernetes

CI/CD

GitHub Actions / GitLab CI / Jenkins

Infrastructure as Code

AI Engineering Mindset

Must demonstrate:

comfort using AI tools in production engineering

prompt engineering for development workflows

understanding limitations of AI-generated code

secure use of AI in enterprise development

Bonus:

RAG systems

LLM integrations

agent workflows

vector databases

MCP ecosystem

AI observability

Experience Required

7+ years software engineering experience

3+ years full stack product development

3+ years AWS production architecture experience

Experience handling scale in production systems

Experience mentoring engineers / leading technical decisions

Nice to Have

Experience building SaaS platforms

Experience in BFSI / fintech / enterprise products

Experience with multi-tenant architecture

Mobile API backend experience

Security-first engineering mindset

Performance engineering expertise

What Were 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