Staff Production Engineer - Public Sector

Job title: Staff Production Engineer - Public Sector

About the Role Databricks is seeking a Staff Production Engineer for the Public Sector to own and evolve the secure infrastructure, access patterns, and guardrails that keep our global platform safe and compliant in production. You will be responsible for the sovereign layer of our infrastructure, ensuring 100% reliability and security in highly regulated, air-gapped, and sovereign environments.

What You'll Do

• Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.
• Review, implement, and continuously improve cloud identity and access policies to align with Databricks security standards and audit requirements.
• Build and maintain reliable automation and tooling to apply cloud changes safely and repeatedly.
• Treat operational and security issues as software problems: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.
• Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.
• Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards.
• Operate and improve specialized, highly regulated environments including release management, patching cadences, and supporting secure access workflows.
• Ensure high availability and resiliency for critical security and access infrastructure across these environments.
• Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines; act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.

What We're Looking For

• Current TS/SCI clearance (active or re-activatable within a 2-year window).
• BS, MS, or PhD in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 8+ years of experience operating and automating large-scale cloud environments, with a track record of driving cross-team infrastructure improvement.
• Deep hands-on experience with at least one major cloud provider in IAM, networking, accounts/subscriptions/projects, and audit logging.
• Strong background in Infrastructure-as-Code and automation and CI/CD for infrastructure changes.
• Proven experience in security-sensitive or regulated environments and translating requirements into concrete technical controls.
• Familiarity with access review processes, policy baselines, and audit evidence for cloud environments.
• Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.
• Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.
• Bonus: experience with identity/access tooling.
• Bonus: experience operating secure admin workstations or comparable hardened access patterns.
• Bonus: experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations.

Nice to Have

• Bonus: experience with identity/access tooling.
• SAW or comparable hardened access patterns experience.
• M&A cloud accounts migration experience.

Compensation & Benefits 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.