
location_onUnorganized Borough, United States
You will join a working squad of senior engineers and architects to build the first production pilots of a client-serving layer. The team has already proven a sub-millisecond serving pattern—an embedded DuckDB cache fronted by FastAPI, kept fresh by Delta Change Data Feed sync from the Lakehouse—and is now scaling it across pilot use cases like ad suppression, subscriber lookups, and customer profile serving.
This is hands-on build work. You will write the sync pipelines, the serving stores, the APIs, the tests, and the CI/CD that take pilots from prototype to production. You will partner with domain teams (Consumer & Marketing, Commercial & Revenue, Growth, Pricing & Analytics) to onboard their use cases onto the patterns we build, contributing to reference implementations, blueprints, and documentation that future teams will reuse.
For applications and inquiries, please contact hirings@openkyber.com.
Work model: On-site
Unorganized Borough, United States
Experience with embedded analytical engines like DuckDB. Production experience with Microsoft Fabric, OneLake, or Power BI Semantic Models. Experience defining and operating SLAs and SLOs for data products or APIs. Familiarity with MCP-style tooling for data access for AI agents. Prior work on serving infrastructure at an enterprise scale.