Architect and implement PBAC and RBAC solutions, including policy models, roles, decision engines, enforcement points, and policy‑as‑code frameworks.
Design and operationalize fine‑grained authorization for applications, services, APIs, and data platforms, enabling contextual and attribute‑based access decisions.
Develop an identity security framework for AI, defining identity controls, access constraints, and governance models for AI agents, models, datasets, and prompt flows.
Integrate PBAC with workload identity, service‑to‑service authentication, and distributed access decisioning within modern cloud and microservice environments.
Partner with application and platform teams to embed authorization-by-design into solution architecture, code, and deployment pipelines.
Evaluate and implement fine grained authorization policies & custom RBAC roles; defining their integration points and governance processes.
Develop automated tooling for policy validation, simulation, testing, and versioning to ensure consistent enforcement and safe policy deployment.
Ensure authorization architecture aligns with risk, compliance, and regulatory requirements while supporting performance, reliability, and developer usability.
Stay current on emerging trends in authorization engineering, zero trust, AI access governance, and modern identity security paradigms.
Requirements
5+ years of experience in cloud security architecture, identity engineering, or IAM platform development within large, complex environments.
Deep technical expertise in Workforce IAM and Cloud IAM, including federation, authentication flows, workload identity, entitlement models, and identity governance.
Hands-on experience designing and implementing fine--grained authorization solutions, including standalone PBAC/ABAC architectures, policy--as---code, and authorization decision engines.
Strong understanding of modern identity protocols and patterns (OIDC, OAuth2, SAML, JWT, service identity, API authorization).
Experience engineering scalable authorization or IAM components, including integration with CI/CD pipelines, automation frameworks, and cloud-native services.
Practical knowledge of cloud provider IAM (Azure, AWS, GCP), including role design, conditional access, workload identity, and cloud-native security controls.
Familiarity with identity security requirements for AI, including secure access for AI agents, models, datasets, and prompt flows utilizing modern security controls
Demonstrated ability to translate complex identity and authorization needs into secure, reusable architectural patterns.
Strong scripting or automation abilities (Python, PowerShell, Terraform, or similar), with experience building tools or utilities that support IAM/PBAC capabilities.
Excellent communication skills, with the ability to clearly articulate technical concepts to engineering, product, and security stakeholders.
Experience working in SAFE or similar agile work methodologies.
Hands-on, analytical problem-solver with the ability to support on-call escalations for identity and authorization issues.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
Terraform
Benefits
medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)