Job Responsibilities
- Full Stack Development (Backend)
- Develop high-performance applications for AI-assisted workflows and decision systems
- Cloud (AWS)
- Architect and deploy applications on AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, Aurora, Bedrock/SageMaker)
- Design event-driven and microservices architectures for scalable AI workloads
- Implement Infrastructure-as-Code (Terraform/CloudFormation)
- CI/CD & Engineering Excellence
- Build and optimize CI/CD pipelines (GitHub Actions/Azure DevOps/Jenkins) for automated builds, testing, and deployments
- Apply MLOps practices including model lifecycle, versioning, and monitoring
- Improve performance, reliability, observability, and cost efficiency of AI inference systems

Key Skills (Must-Have)
- Backend: Python (FastAPI/Flask), API design
- Cloud: AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB)
- DevOps: CI/CD, Docker, Kubernetes, Terraform
- Data: SQL/NoSQL, vector databases

Required Qualifications
- 8+ years of full stack engineering experience, with strong backend and frontend expertise




- Solid programming skills in Python and experience with RESTful API development
- Proven experience working on AWS cloud platform (compute, storage, networking, IAM, monitoring)
- Strong understanding of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes)
- Experience integrating AI/ML models into production applications

Preferred Qualifications
- Hands-on experience with React.js (hooks, state management, component design)
- Experience with Agentic AI / Generative AI systems (LLMs, RAG, orchestration frameworks)
- Familiarity with vector databases (Pinecone, FAISS, OpenSearch) and semantic search
- Exposure to MLOps ecosystems (model registry, pipelines, evaluation frameworks)
- Experience in microservices architecture and event-driven systems
- Prior experience in healthcare/claims domain or regulated environments (preferred)

Healthcare domain exposure (preferred):
- Experience with heal

📌 Senior Software Engineer (Bengaluru)
🏢 Optum
📍 Bengaluru