Senior Production Engineer Realtime Products
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 build monitoring, detection, debugging, and incident-mitigation tooling for realtime products. You will improve service reliability, scalability, security, and operational efficiency; participate in on-call rotations; lead incident response; perform root-cause analysis; and implement durable corrective actions across cloud infrastructure.
Requirements
- 5+ years of production engineering, customer reliability engineering, site reliability engineering, infrastructure engineering, backend engineering, or related experience
- Experience monitoring and alerting complex stateful systems
- Experience with PostgreSQL, managed databases, or distributed systems
- Incident management and on-call experience
- Programming skill in Python, Go, Java, Scala, or similar languages
- Infrastructure automation and Infrastructure as Code proficiency
- Experience using AI for production and operational challenges
- Bachelor's degree or higher in Computer Science or related field
Responsibilities
- Build advanced monitoring and detection capabilities
- Build reliable automation for debugging and incident mitigation
- Improve service reliability, scalability, security, and operational efficiency
- Develop safe mitigations for production issues
- Participate in on-call rotations and lead incident response
- Perform root-cause analysis and implement corrective actions
- Partner with engineering, security, support, and infrastructure teams on follow-up actions