Senior Software Engineer - Data + AI Observability
Databricks5 days ago
Responsibilities
- Develop reliable and timely observability systems that help customers answer questions about their Databricks environments.
- Build platforms that enable Databricks framework teams to publish data to customers.
- Lead major observability roadmap milestones from requirements refinement through execution, operation, and iteration.
- Contribute to long-term product vision and requirements development.
- Mentor engineers and support their technical and career growth.
- Optimize the scalability and cost of large data pipelines.
- Drive integrations with tools and services in the broader data warehousing ecosystem.
Requirements
- 6+ years of production-level experience with Java, Scala, Python, C++, or a similar language.
- Experience with cloud technologies such as AWS, Azure, GCP, Docker, and Kubernetes.
- Proven experience architecting, developing, deploying, and operating components of large-scale distributed systems.
- Strong software engineering maturity, including security, correctness, engineering excellence, and operational excellence.
- Experience building platforms for other software teams and reducing adoption friction.
- Strong cross-functional collaboration skills for serving internal and external platform customers.
Benefits
- Databricks offers comprehensive benefits and perks, with details varying by region.
Tech Stack
Categories
BackendData Engineering
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).