Lead Engineer

Job requirements

5–6+ years of recent, hands-on Python development, including ownership of production services, reusable libraries and automation—not only scripts, notebooks or data analysis.

Practical

FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization, async processing, error handling and testing. Strong conceptual, logical, physical and metadata modelling, including canonical models, data contracts, source-to-target mapping, schema versioning, lineage and data quality.

Experience processing large JSON, YAML and SQL datasets, with practical knowledge of batching, retries, idempotency, caching and performance optimisation.

Robust production engineering practices: PyTest, Git, code reviews, CI/CD, deployment, monitoring and production support. A hands-on go-getter who can contribute from day one, work independently and deliver production-ready solutions quickly. Financial-services or regulated-domain experience is preferred 5–6+ years of recent, hands-on Python development, including ownership of production services, reusable libraries and automation—not only scripts, notebooks or data analysis.

Practical

FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization,



async processing, error handling and testing. Strong conceptual, logical, physical and metadata modelling, including canonical models, data contracts, source-to-target mapping, schema versioning, lineage and data quality.

Experience processing large JSON, YAML and SQL datasets, with practical knowledge of batching, retries, idempotency, caching and performance optimisation.

Robust production engineering practices: PyTest, Git, code reviews, CI/CD, deployment, monitoring and production support. A hands-on go-getter who can contribute from day one, work independently and deliver production-ready solutions quickly. Financial-services or regulated-domain experience is preferred

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Lead Engineer451 (Bengaluru)
🏢 Brillio
📍 Bengaluru