Senior Production Engineer - Realtime Products
DatabricksUnited Statesposted 6h ago
- PayUSD / yr
- $164k – 226k
- Where
- United States
- Country, no city listed
- Posted
- Oct 9
- 6 hours ago
- Type
- Full-time
- Setup
- Not listed
At a glance
Build monitoring, automation, and incident-response systems that keep Databricks’ realtime products reliable, secure, and scalable across AWS, Azure, and GCP.
Summarized by AI from the original posting
What you'll do
- Build advanced monitoring and detection capabilities
- Develop observable automation for debugging and incident mitigation
- Improve service reliability, scalability, security, and operational efficiency
- Develop safe mitigations for production issues
- Participate in follow-the-sun on-call rotation
- Lead incident response and mitigation
- Perform root-cause analysis and implement corrective actions
- Partner with engineering, security, support, and infrastructure teams
Requirements
- 01Experience in production engineering, customer reliability engineering, site reliability engineering, infrastructure engineering, backend software engineering, or related fields
- 02Experience monitoring and alerting complex stateful systems
- 03Experience with PostgreSQL, managed databases, or distributed systems
- 04Experience in incident management and critical infrastructure on-call rotations
- 05Strong programming skills
- 06Proficiency with infrastructure automation and Infrastructure as Code
- 07Ability to collaborate across system boundaries during complex incidents
- 08Experience using AI to address production and operational challenges
Perks
Skills
Full description
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.