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Salary
≈ $17k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 9, 2026. Brillio scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Brillio is an American digital technology services company founded in 2014 that works on data engineering, cloud modernisation, customer experience platforms and applied artificial intelligence for large enterprises. Its clients are concentrated in banking and financial services, healthcare, technology and retail, and it positions itself around building and running digital products rather than the traditional labour-arbitrage outsourcing model. Headquartered in Edison, New Jersey with its largest delivery base in India, it is backed by Bain Capital and employs several thousand engineers across the United States, India, Mexico and Europe.

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

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