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Job Overview

We are seeking an experienced, hands-on Team Lead to shape the future of platform observability and proactive customer monitoring. You will partner closely with cross-functional engineering teams to investigate and resolve incidents, drive root cause analyses, and champion solutions that improve customer reliability and stability of the Databricks Platform.

Key points

  1. Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.

  2. Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.

  3. Guide the design and implementation of customer-focused alerting pipelines and end-to-end observability workflows that expand detection coverage and reduce mean time to detection.

  4. Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.

  5. Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).

  6. Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics…

  7. Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.

  8. Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.

Skills

DatabricksPythonAWSAzureGoogle CloudDockerKubernetesExcel

Experience: Senior-level · 6+ years

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