The impact you'll have:

• Build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily.
• Manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product.
• Develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics.

You will leverage powerful capabilities of Databricks' own data intelligence platform to push the boundaries of troubleshooting practices in the industry.

Responsibilities:

• Develop opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations.
• Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community.

Requirements:

• BS (or higher) in Computer Science, or a related field.
• 7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages.
• Experience in software development, in large-scale distributed systems.
• Experience driving large projects involving multiple teams.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Familiarity with observability infrastructure, monitoring patterns, and reliability practices.

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

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