Build systems that ingest, store, and query traces, metrics, and artifacts from training runs and production agents.
Develop evaluation and monitoring capabilities, such as LLM judges and quality metrics, that catch regressions before they reach production.
Optimize the scalability and cost of the platform as usage grows across customers and cloud regions.
Work with product, research, and customers on what we build next.
Establish best practices for code quality, testing, and operational readiness, and mentor other engineers.
What we look for
BS (or higher) in Computer Science, or a related field.
5+ years of experience developing large-scale distributed systems, scaling infrastructure, or building platforms and developer tools for other teams.
Strong foundation in algorithms, data structures, and system design.
Strong experience with backend technical stacks such as Scala or Java.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.
Engineering maturity in security, correctness, and operational excellence.
Strong communication skills and ability to collaborate across teams.
Experience with ML or LLM systems is a plus.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
