Sr. Staff Production Engineer - Data Platform

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our Data Platform organization is the backbone of the world’s leading Data and AI platform. We operate a massive, multi-cloud (AWS, Azure, GCP), multi-AI, multi-region stack that powers thousands of the world’s most demanding workloads. As we move into the era of Agentic AI, we are not just scaling infrastructure; we are building a new generation of Agentic Observability and Reliability systems.

As a Sr. Staff Production Engineer, you will lead the strategic vision for the operational stability of our internal "Databricks-on-Databricks" environment. You will transition our infrastructure from traditional SRE models toward an agent-driven, self-healing architecture, ensuring that our platform—and the agents operating within it—remain rock-solid for mission-critical customer workloads.

• Architecting 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.

• 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.

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 .