DatabricksSenior Production Engineer - Realtime Products
Databricks is hiring a Senior Production Engineer - Realtime Products. It pays $164k-$226k a year and Level rates it ; you can apply on Level.
AI in this role
Build advanced monitoring, reliability, and automation tooling for Databricks real-time products including model serving.
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
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.
How we rate this
Senior Production Engineer - Realtime Products at Databricks rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where incident management was part of your work. What did you do?
- Tell me about a project where infrastructure automation was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Site Reliability Engineering, Observability, Incident Management, Infrastructure Automation, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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