Cloud Architect

Job Title: Senior AI‑Native Full‑Stack Engineer & Cloud Architect (AWS)

About the Role

We are looking for an exceptional full‑stack engineer who can leverage AI‑accelerated development tools to build complex cloud backends and modern front‑end applications at 10× the speed of traditional teams.

You will:

- Lead rapid development using next‑generation AI coding assistants, code‑generation tools, automated refactoring, and agentic workflows - Own the end‑to‑end architecture, development, and deployment of our product on AWS - Thrive in a fast, experimental, AI‑driven engineering environment

If you love building fast, automating everything, and pioneering AI‑native engineering techniques — this role is for you.

What You Will Own

1. AI‑Accelerated Software Development

- Use state‑of‑the‑art AI tools (Cursor, Devin‑style agents, GitHub Copilot, CodeWhisperer, Claude, Replit Agents, etc.) - Architect, code, refactor, test, and ship features rapidly using AI‑powered workflows - Build full‑stack features across React / TypeScript / Next.js and Python/Node.js microservices - Automate repetitive tasks: test generation, documentation, code cleanup, CI/CD

2. Cloud Backend Architecture

- Design and build scalable backend services: REST, GraphQL, WebSockets, event‑driven systems - Implement serverless architectures on AWS: - Lambda, API Gateway, DynamoDB, RDS, ECS/EKS, SQS/SNS, CloudFront - Build secure, high‑performance, cost‑optimized cloud architectures - Own Infrastructure‑as‑Code using Terraform / CDK / Serverless Framework

3. AI & Data Layer

- Integrate LLMs, embeddings, and vector databases (Pinecone, DynamoDB + OpenSearch, Weaviate, Chroma) - Build RAG pipelines, autonomous agents, and orchestration workflows - Work with ML libraries, API integrations, and model‑hosting solutions (AWS Bedrock, HuggingFace, Together.ai, etc.)

4. DevOps & Operations

- End‑to‑end AWS environment setup - CI/CD automation using GitHub Actions, AWS CodeBuild/CodePipeline - Implement observability: logging, monitoring, tracing - Apply AWS security best practices: IAM, VPC, networking, encryption

Required Skills

- 5+ years of full‑stack development experience - Hands‑on experience with AI coding tools (GitHub repo or workflow proof preferred) - Strong command of: - React / Next.js / TypeScript - Python or Node.js - AWS services (Lambda, ECS/EKS, DynamoDB, S3, CloudFront, RDS) - REST & GraphQL APIs - SQL + NoSQL database design - Experience with Terraform or AWS CDK - Solid understanding of distributed systems, scalability, and security - Ability to work independently and ship at high velocity

Preferred (Bonus) Skills

- Experience with agentic workflows, retrieval pipelines, LangChain/LlamaIndex - Hands‑on with LLM fine‑tuning or deployment (Bedrock/SageMaker) - Event‑driven architectures (Kafka/Kinesis) - Exposure to mobile integration (Flutter/React Native) - Prior startup or 0→1 product experience

Who You Are

- You think in terms of automation, speed, and leverage - You experiment with new AI tools weekly - You are a builder who ships, not just ideates - You convert ambiguous ideas into working features quickly - You love solving hard technical problems independently - You thrive in a fast‑paced, high‑ownership environment

What We Offer

- Opportunity to be the foundational engineer for a high‑impact AI‑native product - Ownership of architecture and technical direction - Work with cutting‑edge AI tools and define engineering workflows - Competitive salary + performance bonus + equity options - Hybrid/remote flexibility (within India) - A culture that values speed, autonomy, and technical excellence