Team Lead - Python

Lead architecture and development of Django-based services and Next.js/React web applications.- Design systems that are modular, scalable, testable, and maintainable using SOLID/DRY, clean architecture, and pragmatic design patterns.

• Own critical technical decisions (trade-offs, performance, security, maintainability).

2. PostgreSQL & Data Engineering (Must-have) Design and optimize PostgreSQL schemas, indexes, queries, and migrations.- Drive performance tuning: query planning, partitioning strategies (when needed), connection pooling, and data integrity. Establish best practices for data modeling and API contracts. 3) Secure Coding & Platform Security

• Implement secure-by-default patterns: input validation, output encoding, secure headers, secrets management, and secure error handling.
• Build and review authentication/authorization: RBAC, multi-tenant controls, least-privilege access.
• Ensure secure API design: rate limiting, idempotency, CSRF/CORS, JWT/OAuth2 flows where applicable.
• Lead threat modeling and code-level security reviews aligned to OWASP.

4. GenAI Integration & RAG Engineering (NEW)

• Design and build RAG pipelines: ingestion, chunking, metadata strategy, embeddings, vector storage, retrieval, reranking, and response synthesis.
• Engineer document lifecycle: versioning, re-indexing, deletions, tenant isolation, and auditability for knowledge bases.
• Implement prompt engineering patterns and guardrails (policy filters, PII handling, grounding requirements, citation/traceability).
• Build evaluation and monitoring for GenAI: accuracy/faithfulness, retrieval quality (recall@k, MRR), latency, cost, and regression testing.
• Enable tool integration: function calling / tool execution patterns, agent workflows, and safe execution boundaries.
• Collaborate with product and AI teams to operationalize GenAI features with strong reliability and security.

5. Engineering Practices & Quality Enforce code quality standards: review discipline, refactoring culture, and maintainability metrics. Establish automated testing: unit, integration, API tests; drive TDD/BDD where appropriate. Define standards for logging, observability, and incident-ready engineering. 6) DevOps Collaboration & Delivery Excellence- Partner with DevOps to ensure smooth deployments via CI/CD, Docker, and (if applicable) Kubernetes. Own environment readiness, release hygiene, and production reliability practices. Contribute to Agile planning and delivery (Scrum/Kanban), ensuring predictable execution. 7) Mentorship & Technical Leadership Mentor engineers through pairing, reviews, architecture sessions, and hands-on guidance. Build a culture of ownership, craftsmanship, and secure engineering.

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