Backend Engineer (Python)

Backend Responsibilities (Primary) Build new agent tools/actions using AWS Bedrock Agent Action Groups (Lambda-backed tools). Integrate existing internal/external APIs into Action Groups via OpenAPI schemas, standardize contracts (versioning, validation, error shapes). Design and implement forecasting input pipelines: ingestion, transformations, feature prep, aggregation, and validation. Implement business logic and data transformation layers with strong test coverage. Ensure robust error handling, retries, idempotency, and clear observability (logs/metrics/traces). Secure tool interfaces (IAM policies, scoped permissions, secrets management) for safe function/tool calling. Implement async workflows for long-running/high-throughput work (queues/events). Nice-to-Have OpenMetadata (or strong metadata/lineage management experience). Experience building LLM products (tool orchestration, guardrails, evals). Forecasting/time-series familiarity (helpful, not required).

Python proficiency (must-have): production services, testing, profiling, packaging, clean architecture. Large dataset handling in Python: memory/performance-aware processing (vectorization, chunking/streaming; pandas/NumPy/Polars or similar). API development: REST and/or GraphQL, contract-first design, schema validation. Database design + query optimization (SQL; Postgres/Aurora/Redshift a plus). ETL/ELT patterns focused on correctness, validation, lineage, and maintainability. Strong AWS experience: Lambda, API Gateway, IAM, CloudWatch, S3 (Step Functions, EventBridge, SQS/SNS are plus). AWS Bedrock Agents concepts: Action Groups, orchestration, tool/function calling, secure interfaces. Asynchronous processing with queues (DLQs, retries, idempotency).