About the company
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.
Responsibilities
- 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 (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.
- Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) 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 (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).
- 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.
Requirements
- Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
- 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) and translating requirements into concrete technical controls.
- Familiarity with access review processes, policy baselines, and audit evidence for cloud environment.
- 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.