Lead Python developer - GenAI/Microservices

- Develop and maintain RESTful APIs using Python (FastAPI), ensuring containerization and deployment on AWS ECS Fargate. - Design clear API contracts and document them with OpenAPI/Swagger. - Integrate with AWS Bedrock and other GenAI services to enable RAG and knowledge-based queries. - Work with vector databases (e.g., Pinecone, Weaviate, OpenSearch/Elasticsearch) for semantic search and retrieval. - Create robust API clients for AI endpoints, implementing authentication, throttling, retries, and error management. - Configure the API Gateway for secure routing, including throttling and authentication/authorization. - Apply Infrastructure as Code (Terraform or AWS CloudFormation) for managing ECS/Fargate, API Gateway, IAM, and networking. - Leverage AWS services like S3, Lambda, OpenSearch/Elasticsearch, CloudWatch, and Bedrock. - Build CI/CD pipelines (using GitHub Actions, Jenkins, or CodePipeline) for automated building, testing, and deployment. - Write unit, integration, and end-to-end tests using pytest, while automating regression tests with QA. - Perform load/stress testing and analyze performance and reliability metrics. - Implement centralized logging and set up service level indicators/service level objectives (SLIs/SLOs) alerts. - Troubleshoot incidents using logs, traces, and metrics, and proactively resolve bottlenecks. - Enforce SSO/OAuth2/JWT as part of security compliance and integration best practices. - Implement guardrails for AI and application compliance, managing secrets and conducting dependency scans. - Collaborate closely with data scientists, AI engineers, and architects to turn AI outputs into APIs. - Engage in sprint planning, code reviews, design discussions, and maintain thorough documentation.