Sr. Software Engineer - Observability
Databricks7 days ago
Responsibilities
- Establish standards for logging, metrics, and tracing.
- Collaborate with teams to identify metrics for evaluating system and component performance.
- Build tooling and infrastructure for efficient metric emission, aggregation, storage, dashboards, and alerting.
- Contribute to the technical roadmap to improve system scalability, performance, and reliability.
- Participate in on-call rotations and reduce incident response times.
- Optimize observability costs through expense analysis, improved visibility, retention policies, streamlined queries, and resource right-sizing.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- At least 7 years of production-level experience with Python, Java, Scala, C++, or similar programming languages.
- Experience developing software for large-scale distributed systems.
- Familiarity with metrics collection, health monitoring, and observability tools.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details available through the company’s benefits information.
- The role includes participation in an on-call rotation.
- Employment may require export-control authorization at the employer’s discretion.
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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).