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

Mobcast Innovations; Mumbai; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Mobcast Innovations in Mumbai seeks a highly experienced Senior Full Stack Developer who merges engineering mastery with an AI-native mindset. You will design and build scalable web apps using Golang or Node.js on the backend, React.js/Next.js on the frontend, and run at scale in AWS.

You will leverage AI coding tools like OpenAI Codex, ChatGPT, Claude, Gemini, Copilot, Windsurf to accelerate development, optimize performance, and shape architecture.

Qualifications

• 7+ years software engineering experience
• Proven full stack development experience with backend and frontend
• Experience designing scalable systems for production
• Hands-on experience with AWS at scale
• Familiarity with AI coding tools in production workflows
• Strong API design and security practices

Responsibilities

• Design, develop, and maintain scalable web applications using backend Gorlang/Node.js and frontend React.js/Next.js
• Architect modular, reusable frontend architectures
• Develop secure REST/GraphQL APIs and event-driven services
• Implement authentication, authorization, RBAC, SSO, OAuth, JWT
• Apply AI tooling for code generation, debugging, refactoring, and performance optimization
• Evaluate AI-generated code for correctness, scalability, and security

Skills

Golang

Node.js

React.js

Next.js

TypeScript

API design

Security best practices

Concurrency

Distributed systems

Tools

AWS

Docker

Kubernetes

CI/CD

Terraform

CloudFormation

CDK

Job description

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:

• Backend: Golang and/or Node.js
• 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:

• OpenAI Codex / ChatGPT
• Claude
• Gemini
• Cursor
• GitHub Copilot
• Windsurf / Codeium / similar

Use AI tools for:

• code generation
• debugging
• refactoring
• architecture brainstorming
• test case generation
• documentation generation
• migration acceleration
• performance optimization
• 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