Senior Production Engineer - Realtime Products

The role

You will build advanced monitoring and incident mitigation tooling for realtime products like Lakebase, Neon and Model Serving. You will drive changes across the stack to make these products reliable, secure, and scalable.

What you will do

• Build advanced monitoring and detection capabilities.
• 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.
• Lead incident response and mitigation.
• Perform root-cause analysis and implement lasting corrective actions.
• Partner with Product Engineering, Security, Support, and other infrastructure teams.

Required qualifications

• 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related fie
• Experience in holistic monitoring and alerting of complex stateful systems.
• 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.
• Experience in using AI to address production and operational challenges.
• BS degree (or higher) in Computer Science, or a related field.

Nice to have

• 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.

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.