Team Lead Platform Monitoring Engineer
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
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 lead platform incident investigations, coordinate detection through resolution, and conduct root-cause analyses. You will design customer-focused alerting and observability workflows, build monitoring automation, help structure on-call operations, and mentor engineers while supporting hiring and onboarding.
Requirements
- 6+ years of experience as an SRE, DevOps Engineer, CRE, Production Engineer, or similar
- 2+ years leading engineers with mentorship and coaching responsibilities
- Production experience with AWS, Azure, or GCP
- Proficiency with Docker and Kubernetes
- Experience with ELK, Prometheus, Grafana, PagerDuty, or similar monitoring tools
- Proficiency in Python or a similar language
- Experience managing the incident lifecycle through post-mortem analysis
- Excellent communication skills
- BS, Master's, or PhD in Computer Science, Computer Engineering, or a related engineering field
Responsibilities
- Lead platform incident investigations and coordinate cross-functional resolution
- Conduct post-incident root-cause analyses
- Design and implement alerting pipelines and observability workflows
- Build monitoring automation and reusable monitoring patterns
- Help structure the on-call rotation
- Design and execute customer reliability plans
- Support hiring and onboarding of Platform Monitoring Engineers