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Job Description
Structured overview of role & requirementsAbout This Role
Own and develop production-ready Python services with reusable libraries and automation.
Design and implement APIs using FastAPI and Pydantic including schema design, complex validation, async processing, error handling, and testing.
Apply strong data modeling and production engineering practices including code reviews, CI/CD, deployment, monitoring, and production support.
Minimum Requirements
5–6+ years of recent, hands-on Python development with ownership of production services (not just scripts or notebooks).
Practical experience with FastAPI and Pydantic covering API creation and complex validation.
Strong knowledge of conceptual, logical, physical, and metadata data modeling.
Work Experience Required: 5–6+ years Python development. Financial services/regulatory domain experience preferred but not mandatory.
Ideal Candidate Profile
Experienced in handling large datasets (JSON, YAML, SQL) with batching, retries, idempotency, caching, and performance optimization.
Demonstrates strong production engineering skills including testing (PyTest), Git, CI/CD pipelines, deployment, monitoring, and support.
Capable of working independently from day one to deliver production-ready solutions quickly in regulated or financial environments.