Staff Software Engineer Money
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/23/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own services that govern usage across products, beginning with resource admission control and usage-governance infrastructure. You will improve reliability, reconciliation, anomaly detection, CI/CD, testing, and data quality. You will collaborate on scalable infrastructure and lead long-term product requirements.
Requirements
- BS, MS, or PhD in Computer Science or a related field
- 12+ years of production-level experience with Java, Scala, C++, or a similar language
- Ability to work toward a multi-year vision through incremental deliverables
- Track record of architecting, developing, deploying, and operating large-scale distributed systems
- Experience with software security and systems handling sensitive data
- Leadership across functional and organizational boundaries
- Experience with AWS, Azure, GCP, Docker, or Kubernetes
Responsibilities
- Own systems and services that govern product usage
- Build resource admission-control and usage-governance infrastructure
- Improve efficiency, reliability, accuracy, and response times
- Develop CI/CD processes, test frameworks, data-quality assurance, reconciliation, and anomaly detection
- Collaborate with platform and product teams on scalable infrastructure
- Provide leadership on long-term product vision and requirements
- Represent Databricks at academic and industrial conferences and events