Note: The job is a remote job and is open to candidates in USA. Releady is partnering with a leading healthcare technology company to modernize identity and access management for a nationwide health plan ecosystem. The Senior Manager, Identity Platform Engineering will lead the engineering, automation, modernization, and strategic development of secure, scalable, API-driven IAM capabilities across hybrid environments, including AI-enabled access patterns.
Responsibilities
- Design, implement, and continuously improve enterprise IAM capabilities across hybrid cloud, SaaS, on-premises, application, privileged, service, machine, and AI-enabled access patterns
- Lead engineering, automation, and modernization of Identity Lifecycle Management, Identity Governance, Privileged Access Management, authentication, authorization, and federation capabilities
- Develop and maintain scalable identity services using Infrastructure as Code, CI/CD pipelines, APIs, workflow orchestration, and automated testing to accelerate delivery and improve reliability
- Deliver IAM as a reusable, API-driven, developer-consumable platform that enables self-service application onboarding, entitlement workflows, access request automation, and reference architectures
- Design and implement Role-Based Access Control, Attribute-Based Access Control, and Just-in-Time, time-bound, and Least Privilege access models that reduce standing privilege while simplifying administration
- Advance privileged access modernization through automated approval workflows, time-bound elevation, break-glass controls, credential rotation, session monitoring, and risk-based privilege management
- Engineer integrations across identity governance, directory, cloud, HR, and enterprise application platforms to support automated provisioning, deprovisioning, and machine-to-machine access
- Define secure identity and access patterns for AI-enabled systems, including AI agents, copilots, and autonomous workflows that require controlled access to enterprise or healthcare data
- Leverage AI and intelligent automation to improve entitlement analysis, access reviews, anomaly detection, and audit readiness, and to support compliance with HIPAA, SOX, HITRUST, and Zero Trust principles
- Contribute to enterprise IAM architecture, engineering standards, platform roadmaps, and measurable risk-reduction outcomes that support the organization's broader technology strategy
Skills
- Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or equivalent combination of education and experience
- A minimum of eight years designing, implementing, and supporting enterprise Identity and Access Management solutions, including four years of direct people management experience
- Strong understanding of Identity Lifecycle Management, Joiner/Mover/Leaver processes, Identity Governance, and Privileged Access Management within complex hybrid cloud, SaaS, and on-premises environments
- Deep understanding of Role-Based Access Control, Attribute-Based Access Control, Just-in-Time, and Least Privilege security models
- Strong knowledge of authentication and authorization frameworks, including Single Sign-On, Multi-Factor Authentication, SAML, OAuth 2.0, OpenID Connect, SCIM, and modern identity federation technologies
- Experience delivering identity as a platform capability, including self-service, API-driven, developer-consumable IAM services for application, cloud, and security engineering teams
- Experience implementing DevOps or platform engineering practices, including CI/CD, Infrastructure as Code, and policy-as-code
- Experience applying identity controls to AI-enabled systems, including AI agents, copilots, machine identities, and least-privilege access to sensitive enterprise data
- Must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
- Must be able to work in the United States without sponsorship
Benefits
- Hybrid or Remote work arrangement
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