Lead Engineer - R01572451

Brillio-2; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Brillio-2 is seeking a Lead Engineer with deep Python experience to own production services, build reusable libraries, and drive automation from day one.

Candidate will leverage FastAPI and Pydantic for API creation, schema design, validation and testing while handling large JSON/YAML/SQL datasets and ensuring high performance and reliability.

Strong engineering discipline, CI/CD, monitoring and production support are essential for success in this role.

Qualifications

• 5–6+ years of Python development with ownership of production services, reusable libraries and automation.
• Strong Practical FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization, async processing, error handling and testing.
• Experience processing large JSON, YAML and SQL datasets, with batching, retries, idempotency, caching and performance optimisation.
• Strong production engineering practices: PyTest, Git, code reviews, CI/CD, deployment, monitoring and production support.

Responsibilities

• Own production services and deliver production-ready solutions from day one.
• Develop reusable libraries and automation beyond scripts/notebooks.
• Collaborate across teams to ensure data quality and robust engineering practices.

Skills

Python development

API design

Data modelling

Testing

CI/CD

Production ownership

Code reviews

Git

Monitoring

Programming best practices

Tools

FastAPI

Pydantic

Job description

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. Strong 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. Strong 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