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

Zafify; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Flexible work hours

Learning and growth opportunities

Job summary

Zafify in Mumbai is seeking a Senior Full Stack Developer to leverage AI tools and build scalable applications. The ideal candidate has 7+ years of experience, strong skills in Golang and Node.js, and expertise in AWS architecture.

This role focuses on developing secure APIs, optimizing production systems, and mentoring junior engineers. Join us to work on impactful projects and grow in a collaborative environment.

Qualifications

• 7+ years of software engineering experience.
• 3+ years of full-stack product development experience.
• Experience handling large-scale production systems.

Responsibilities

• Design, develop, and maintain scalable web applications.
• Use AI tools for code generation and debugging.
• Implement secure REST APIs and GraphQL APIs.

Skills

Golang

Node.js

React.js

Next.js

AWS

TypeScript

Education

Bachelor's degree in Computer Science or related field

Tools

AWS (EC2, ECS, Lambda)

Docker

Terraform

GitHub Actions

Job description

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

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 optimised production‑grade systems handling scale, performance bottlenecks, distributed architectures, and cloud cost optimisation.

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.
• Utilise AI for code generation, debugging, refactoring, architecture planning, testing, documentation, migrations, performance optimisation and infrastructure automation.
• Evaluate AI‑generated code for correctness, scalability, security and maintainability.
• Build AI‑assisted engineering workflows and productivity accelerators.

Hands‑on expertise with:

Compute

• EC2
• ECS / Fargate
• EKS
• Lambda

Networking

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

Databases

• Aurora
• DynamoDB
• Redis / ElastiCache

Storage

• S3
• EFS

Observability

• CloudWatch
• X-Ray
• OpenSearch / ELK

Security

• IAM
• Secrets Manager
• KMS
• WAF
• Shield
• GuardDuty

DevOps / Infrastructure

• Terraform / CloudFormation / CDK
• Docker

Scale & Performance Optimisation

Strong production experience in:

• High‑traffic backend systems
• Query optimisation
• Caching strategies
• CDN optimisation
• Load balancing
• Event‑driven architectures
• Horizontal scaling
• Performance profiling
• Memory leak detection
• Bottleneck analysis

Required Skills

• Strong expertise in at least one: Golang or Node.js (NestJS / Express / Fastify)

Knowledge of:

• Concurrency
• Distributed architecture
• Authentication and security best practices

Frontend

Strong expertise in:

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

Databases

• DynamoDB / NoSQL
• Redis
• Indexing
• Query tuning
• Replication
• Scaling strategies
• Docker
• CI/CD
• GitHub Actions / GitLab CI / Jenkins
• Infrastructure as Code
• 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

• BFSI, fintech, or enterprise product experience.
• Mobile API backend development.
• 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.
• 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.