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).

Backend Responsibilities (Primary)
Build current 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).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Backend Engineer (Python) (New Delhi)
🏢 Bahwan Cybertek
📍 New Delhi