Senior Full Stack Cloud & AI Engineer (AWS / GenAI)

Job Title: Senior Full Stack Cloud & AI Engineer (AWS / GenAI) Experience Level: 5+ Years About the Role: We are seeking an experienced Senior Full Stack Developer with 5+ years of engineering background to architect, build, and scale cloud-native applications powered by Generative AI. Key Responsibilities • Architect and implement robust, event-driven serverless backends using AWS Lambda and Step Functions. • Integrate foundational LLMs through AWS Bedrock to deliver production-ready generative features, intelligent agents, and semantic search. • Design performant, responsive web interfaces and connect them to cloud microservices. • Model, optimize, and maintain scalable data storage with DynamoDB and Amazon S3. • Oversee authentication, multi-tenant security, and session handling using AWS Cognito. • Establish observability, distributed tracing, alerting, and log analysis with CloudWatch. • Mentor junior engineers, drive code review standards, and guide technical architecture decisions. Required Qualifications • 5+ years of professional full stack engineering experience, with a proven track record of shipping production web applications. • Deep AWS Serverless Expertise: Advanced hands-on proficiency in Lambda, Step Functions, DynamoDB, and S3. • Identity & Access Management: Deep familiarity with AWS Cognito (User Pools, Identity Pools, JWT verification, and RBAC). • Observability & Reliability: Strong background in debugging distributed serverless environments using AWS CloudWatch. • Full Stack Fluency: Strong command of modern frontend ecosystems (React/Next.js/Vue) paired with TypeScript, Node.js, or Python on the backend. • Generative AI Integration: Practical experience deploying LLM-driven features via AWS Bedrock (or OpenAI/Anthropic APIs), including prompt design, function calling, or RAG patterns.