Senior Software Engineer Money
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
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 systems that govern product usage and build resource-admission and usage-governance infrastructure. You will improve reliability, accuracy, data quality, reconciliation, and anomaly detection while collaborating with platform and product teams on scalable solutions.
Requirements
- BS or higher in Computer Science or a related field
- 7+ years of production-level experience with Java, Scala, C++, or a similar language
- Experience architecting, developing, deploying, and operating large-scale distributed systems
- Experience with software security and systems handling sensitive data
- Ability to lead engineering projects across functional and organizational boundaries
- Experience with AWS, Azure, GCP, Docker, or Kubernetes
Responsibilities
- Own systems and services that govern usage across products and offerings
- Build resource-admission-control and usage-governance infrastructure
- Improve infrastructure efficiency, reliability, accuracy, and response times
- Enhance CI/CD processes, test frameworks, data quality assurance, reconciliation, and anomaly detection
- Collaborate with platform and product teams on scalable infrastructure
- Contribute to long-term product vision and requirements