Strategic Overview
Senior Production Engineer - Realtime Products at Databricks is a cloud-devops opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for Mountain View, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
CSQ127R154
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.
Key Responsibilities & Objectives
- 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.
- Improve service reliability, scalability, security, and operational efficiency.
- Develop dependable, safe, mitigations for production issues.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
Published compensation: $164,200 – $225,700 USD
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
CSQ127R154
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This cloud-devops opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.