Sr. Software Engineer

Experience with large unstructured data sets is a must.

Responsibilities:

Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.

Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.

Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.

Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.

Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.

Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.

Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.

Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.

Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.