The role at Databricks focuses on managing and evolving secure cloud infrastructure across multiple major cloud providers, including AWS, Azure, and GCP. As a Production Engineer, you will ensure the reliability and security of the Data Intelligence Platform in highly regulated environments. The team is dedicated to treating operational and security challenges as software problems, emphasizing automation and efficiency. This position requires a strong background in cloud infrastructure and a commitment to maintaining compliance and security standards.

• Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
• Possession of a current polygraph is highly desired and considered a significant plus.
• BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of experience in production engineering, SRE, security engineering, or cloud infrastructure roles.
• Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.
• Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
• Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector).
• 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.

• Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP.
• Review, implement, and continuously improve cloud identity and access policies to align with Databricks security standards.
• Build and maintain reliable, observable automation and tooling to apply cloud changes safely and repeatedly.
• Treat operational and security issues as software problems by eliminating toil and driving root-cause analysis.
• Own and improve security and audit logging data pipelines from cloud providers into internal systems.
• Partner with Security, Compliance, and Audit teams to provide evidence and policy updates.
• Operate and improve specialized, highly regulated environments including release management and patching cadences.
• Ensure high availability and resiliency for critical security and access infrastructure.
• Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts or security data pipelines.
• Act as a key partner to product engineering, security engineering, and field teams during incidents.