Sr Staff Production Engineer- Public Sector

<h3><strong>P-1605</strong></h3> <h3><strong>About Databricks</strong></h3> <p>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 solve 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.</p> <p><strong>The Role</strong></p> <p>At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.</p> <p>In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.</p> <h3><strong>The Impact You’ll Have</strong></h3> <p><strong>Security-Focused Cloud Operations</strong></p> <ul> <li>Design, automate, and operate the <strong>IAM, account/subscription, and project lifecycle</strong> across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.</li> <li>Review, implement, and continuously improve <strong>cloud identity and access policies</strong> (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.</li> </ul> <p><strong>Production Engineering &amp; Automation</strong></p> <ul> <li>Build and maintain <strong>reliable, observable automation and tooling</strong> to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.</li> <li>Treat operational and security issues as <strong>software problems</strong>: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling