Sr. Software Engineer - Observability
Databricks · Posted Nov 7
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
The Observability team at Databricks develops solutions that provide insights into the health and performance of Databricks products and infrastructure. Databricks runs a large-scale platform with millions of virtual machines, terabytes of logs, and exabytes of data per day. This senior role will establish logging, metrics, and tracing standards, build observability tooling and infrastructure, and participate in on-call and cost optimization.
What you will do
- Establish standards for logging, metrics, and tracing.
- You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
- You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
- Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
- Participate in on-call rotations and reduce incident response times to maintain operational excellence.
- Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.
Skills used in this role
What the employer is looking for
- BS (or higher) in Computer Science, or a related field.
- 7+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
- Experience in software development in large-scale distributed systems.
- Familiarity with metrics collection, health monitoring, and observability tools
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway2026-08-13
Forbes
Databricks Hits $190 Billion Valuation As CEO Ali Ghodsi Claims AGI Has Already Arrived2026-08-13
Databricks Newsroom
Databricks Launches Genie One: All-New Agentic Coworker for Every Team2026-06-16
Bloomberg
Context Needed to Reach AGI, Says Databricks CEO2026-06-16