What's the salary range?

Databricks lists $164,200–$225,700 for this role.

How much experience is required?

At least 5 years of relevant experience for this Senior Production Engineer - Realtime Products role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Go, Java, Kubernetes.

What seniority level is this role?

Databricks targets senior candidates for this position.

Senior Production Engineer - Realtime Products at Databricks

Joblaze summary

In the role of Senior Production Engineer for Databricks' realtime products, the individual will focus on enhancing the reliability and performance of systems like Lakebase and Neon through advanced monitoring and incident response strategies. Key skills include proficiency in programming languages such as Python or Java, along with experience in infrastructure automation and incident management. This position is ideal for seasoned professionals with over five years in production or site reliability engineering, who can navigate complex systems and collaborate across teams.

Joblaze insights

Listed today — first seen on Joblaze October 11, 2026. Last confirmed on Databricks's careers page October 11, 2026.
This exact title is also open at 1 other location at Databricks: Mountain View, California.
Salary band is in line with the typical range for DevOps/SRE roles (median ~$165,000).
Starts above 38% of 85 comparable senior devops/sre roles in United States that list Kubernetes we track (median $165,000 across 39 companies). See Kubernetes salary trends
Kubernetes appears in 68.2% of 195 comparable senior devops/sre roles in United States; Scala appears in 3.1% of 195 comparable senior devops/sre roles in United States.

Quick facts

What's the salary range?: Databricks lists $164,200–$225,700 for this role.
How much experience is required?: At least 5 years of relevant experience for this Senior Production Engineer - Realtime Products role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Go, Java, Kubernetes.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Production Engineer - Realtime Products role at Databricks.

From the original posting

CSQ127R192

As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production.

Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP.

The Impact You’ll Have

Observability

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

Reliability

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

On-Call & Incident Response

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

What We Look For

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 in holistic monitoring and alerting of complex stateful systems, applying multiple 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.

Skillset

A mindset focused on automation, root-cause resolution, and continuous improvement.
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.

Bonus

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.

Education

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

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. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$164,200—$225,700 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Senior Production Engineer - Realtime Products

The Impact You’ll Have

What We Look For

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