Senior Production Engineer

As a Senior Production Engineer on Databricks' realtime products, you will directly contribute to customer success by building advanced monitoring and incident mitigation tooling, and driving changes across the stack to make realtime products like Lakebase, Neon, and Model Serving reliable, secure, and scalable in production. You will partner across engineering teams to build durable solutions for a platform operating across AWS, Azure, and GCP.

• Build advanced monitoring and detection capabilities for early warning and deep insights into workload performance and customer experience.
• Build reliable, observable automation for debugging and incident mitigation.
• Improve service reliability, scalability, security, and operational efficiency.
• Develop dependable, safe mitigations for production issues.
• Participate in a follow-the-sun on-call rotation and lead incident response and mitigation.
• Perform root-cause analysis and implement lasting corrective actions.
• Partner with Product Engineering, Security, Support, and other infrastructure teams on follow-up actions.

• 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field.
• Experience in holistic monitoring and alerting of complex stateful systems, applying strategies like workload alerting, anomaly detection, and probing.
• Experience with PostgreSQL or related managed databases or distributed systems.
• Experience in incident management and participating in on-call rotations for critical infrastructure.
• Strong programming skills in one or more languages such as Python, Go, Java, Scala, or similar.
• Proficiency with infrastructure automation and Infrastructure as Code.
• Ability to work across system boundaries and collaborate effectively during complex incidents, and engage with customers' infrastructure teams.
• Experience in using AI to address production and operational challenges.

• Experience with AWS, Azure, or GCP.
• Experience with Lakebase or Neon.
• Experience with Kubernetes, Terraform.
• Experience building internal platforms, operational tooling, or developer productivity systems.

BS degree (or higher) in Computer Science or a related field.

Zone 1 Pay Range: $164,200—$225,700 USD. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click the link in the job posting.

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Hiring practices are inclusive and meet equal employment opportunity standards.