Senior Production Engineer – Databricks Realtime Products

As a Senior Production Engineer working on Databricks’ real-time products, you will directly contribute to customer success. You will build advanced monitoring and incident mitigation tools and drive improvements across the technology stack to make real-time products—including Lakebase, Neon, and Model Serving—reliable, secure, and scalable in production.

Production Engineers understand the Databricks platform end to end and collaborate across engineering teams to build durable solutions for a platform operating across AWS, Azure, and GCP.

Key Responsibilities

Observability

• Build advanced monitoring and detection capabilities that provide early warnings of issues and deep insights into workload performance and customer experience.
• Develop reliable, observable automation for debugging and incident mitigation.

Reliability and Infrastructure

• Improve service reliability, scalability, security, and operational efficiency.
• Develop dependable and safe mitigations for production issues.

On-Call and Incident Response

• Participate in a follow-the-sun on-call rotation and lead incident response and mitigation.
• Perform root-cause analysis and identify and implement lasting corrective actions.
• Partner with Product Engineering, Security, Support, and other infrastructure teams on follow-up actions.

Required Qualifications

Experience

• 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 with holistic monitoring and alerting for complex stateful systems, using strategies such as workload alerting, anomaly detection, and probing.
• Experience with PostgreSQL or related managed databases and distributed systems.
• Experience in incident management and participation in on-call rotations for critical infrastructure.

Technical Skills

• An automation-focused mindset emphasizing root-cause resolution and continuous improvement.
• Strong programming skills in one or more languages, such as Python, Go, Java, Scala, or similar.
• Proficiency in infrastructure automation and Infrastructure as Code.
• Ability to work across system boundaries, collaborate effectively during complex incidents, and engage with customers’ infrastructure teams.
• Experience using AI to address production and operational challenges.

Education

Bachelor’s degree or higher in Computer Science or a related field.

Preferred Qualifications

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

Compensation and Pay Transparency

Databricks is committed to fair and equitable compensation practices. The listed pay range represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages depend on several factors, including job-related skills, depth of experience, relevant certifications and training, and work location. Databricks anticipates utilizing the full width of the applicable pay range.

The total compensation package may also include eligibility for an annual performance bonus, equity, and benefits.

Zone 1 Pay Range: $164,200–$225,700 USD