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# Sr. Staff Production Engineer - Data Platform

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $228,600.0 - $314,250.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Data Infrastructure, Distributed Data Store, Distributed Systems, Python (Programming Language), Reliability Engineering, Site Reliability Engineering Practices, Sysadmin, Delivery Pipeline, Large Language Models, Multi-Cloud, Information Technology, Databricks
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dbde16bf5fc21979

## About the Role

* 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 Transparency

## Description

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.


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