Sr. Staff Production Engineer - Data Platform

Impact You Will Have

Arcitecting Agentic Reliability: Define and drive the design of future "self-healing" infrastructure at scale where AI agents proactively detect, diagnose, and remediate production incidents before they impact customers.

Data Platform Optimization: Own the operational integrity of the Data Platform that powers our internal AI models, ensuring 99.99% availability for the compute, storage, and control plane services used by thousands of Databricks engineers.

High-Scale Operational Excellence: Establish the next generation of "Change Safety" protocols, utilizing automation and agentic guardrails to manage complex deployments across 100+ global regions.

Leadership in Chaos & Scale: Serve as a technical bar-raiser for the team, evangelizing modern SRE practices (including Chaos Engineering) to navigate the structural transformation of the industry toward agentic, autonomous systems.

What We Look For

• BS/MS/PhD in Computer Science, or a related field
• Technical Depth: 10+ years of production-level experience as a Software Engineer or SRE in highly distributed, multi-cloud environments
• Engineering Persona: You write code to solve operational problems. You are not a traditional sys-admin; you build frameworks, automation, and tooling (Scala, Java, Go, or Python) to eliminate toil
• Platform & AI Mindset: Deep understanding of distributed data platforms and a passion for leveraging AI/ML to revolutionize infrastructure management. Familiarity with LLM infrastructure, training/inference pipelines, or agentic frameworks is a significant plus.
• Operational Grit: Proven ability to remain calm and decisive under pressure. You have navigated large-scale distributed systems through hyper-growth and have a track record of driving incident-to-roadmap loops
• Strategic Influence: Experience building long-range technical roadmaps and driving cross-functional alignment. You are comfortable challenging senior leadership with data-driven insights

Pay Range

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.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.