Senior Software Engineer Observability
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 9/25/2026
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 develop observability solutions that reveal product and infrastructure health and performance. You will set standards for logging, metrics, and tracing; collaborate on meaningful metrics; and build tooling to emit, aggregate, store, display, and alert on metrics. You will improve system reliability, participate in on-call rotations, reduce incident response time, and optimize observability costs.
Requirements
- BS or higher in Computer Science or a related field
- 7+ years of production-level experience with Python, Java, Scala, C++, or a similar language
- Experience developing software for large-scale distributed systems
- Familiarity with metrics collection, health monitoring, and observability tools
Responsibilities
- Establish standards for logging, metrics, and tracing
- Collaborate with teams to identify system-performance metrics
- Build tooling and infrastructure to emit, aggregate, store, display, and alert on metrics
- Execute the technical roadmap to improve scalability, performance, and reliability
- Participate in on-call rotations and reduce incident response times
- Optimize observability costs through retention policies, query improvements, and resource right-sizing