Senior Site Reliability Engineer, Workforce Identity

Coinbase is a remote-first company focused on increasing economic freedom. They are seeking a Senior Site Reliability Engineer to build and scale their identity and access management (IAM) platform, ensuring reliability and performance for critical identity services.

Responsibilities:

• Own the reliability and availability of corporate IAM systems end-to-end, including on-call rotation, incident response, root cause analysis, and blameless retrospectives to ensure 24x7 uptime for critical identity services
• Build and maintain CI/CD pipelines and automation tooling to streamline identity platform deployments, eliminate manual operational tasks, and progressively test changes before production rollout
• Partner with IT, Security, and Engineering teams as a subject matter expert on corporate IAM and DevOps tooling, advising on identity lifecycle, provisioning, SSO, MFA, and access control architecture
• Drive observability and disaster recovery maturity across IAM systems by defining metrics, implementing monitoring solutions, and designing recovery strategies that meet strict SLA requirements
• Strengthen documentation standards by creating and maintaining comprehensive runbooks, system configuration guides, and troubleshooting procedures across the identity platform lifecycle

Requirements:

• 5+ years of experience in site reliability engineering or infrastructure engineering, with hands-on ownership of identity and access management platforms (Okta, Duo, Auth0, EntraID, Ping, or similar)
• Demonstrated success building tooling that solves IAM-specific problems including identity lifecycle and provisioning, SSO, MFA, and ABAC/RBAC at enterprise scale
• Proficiency in at least one modern programming language (Go, Python, Ruby, Java, or C#) and experience designing and maintaining CI/CD pipelines using Git-based workflows and IaC tools (Terraform or equivalent)
• Track record managing cloud environments (AWS, GCP, or Azure) with infrastructure-as-code, including container orchestration and automated deployment frameworks
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
• Experience working in a highly regulated environment
• Experience in a fast-paced, high-growth company