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Reflection AI

Builds AI models and deployment software

Head of Identity and Access Management

Security Engineering & ArchitectureUpdated on Nov 4
Full-time

About the Job

Requirements

  • At least 15 years of dedicated experience in identity security, security architecture, or infrastructure engineering within high-growth startups, hyperscale cloud environments, or elite security teams.
  • A demonstrated track record of architecting and operating modern zero-trust identity infrastructure at scale, including hardware-backed authentication, just-in-time credentialing, and workload identity systems.
  • Hands-on experience securing IAM boundaries across major cloud providers such as AWS and GCP and containerized environments, including Kubernetes identity federation and IAM roles for service accounts.
  • Practical experience building and operating privileged access management systems for large-scale compute environments, including GPU cluster access in cloud or neocloud contexts.
  • Prior experience partnering with detection and response teams to instrument identity telemetry and build adversary-focused detection logic targeting identity-layer attack techniques.
  • Deep, first-principles understanding of OAuth 2.0, OpenID Connect, SAML, WebAuthn, FIDO2, and public key infrastructure.
  • Strong software engineering capability to write clean, maintainable code in Go, Python, or Rust for custom tooling, API integrations, and automation.
  • Proficiency in Infrastructure as Code tools such as Terraform and Pulumi for defining and managing identity constructs programmatically.
  • Working knowledge of advanced adversary techniques targeting identity, including session token theft, OAuth consent abuse, device registration hijacking, and Golden SAML vectors.
  • Ability to design identity systems that balance rigorous security guarantees with developer-friendly operational experience.
  • Ability to build systems that preserve researcher productivity and assume components may be compromised, designing for resilience rather than perimeter integrity.

Responsibilities

  • Design and implement a resilient, cloud-native identity architecture using modern identity providers, including Okta and OpenID Connect/OAuth 2.0 federations, unified with edge-enforced zero-trust access networks such as Cloudflare Access and Tailscale/WireGuard topologies.
  • Architect and continuously evolve the organization’s identity boundary, replacing legacy constructs with modern, cryptographically grounded alternatives.
  • Own the full identity lifecycle architecture across corporate, production, and research environments, ensuring consistency, auditability, and resilience across access surfaces.
  • Mandate and enforce globally hardware-backed authentication using YubiKeys/WebAuthn across corporate, production, and research endpoints.
  • Eliminate SMS, time-based one-time passwords, and legacy multi-factor authentication bypass vectors, making phishing-resistant authentication the only path.
  • Design and operate zero-trust access controls that dynamically enforce least privilege using device posture, user context, and behavioral signals.
  • Build short-lived, just-in-time credentialing systems for engineering and research access to large GPU clusters across AWS, GCP, and Oracle Cloud Infrastructure environments.
  • Replace SSH keys and long-lived credentials with ephemeral, short-lived certificate-based access using tools such as Teleport or HashiCorp Boundary.
  • Design and enforce privileged access workflows that provide researchers and engineers with immediate, secure, fully audited access without persistent attack surface.
  • Architect SPIFFE/SPIRE or cloud-native cryptographic identity frameworks for service-to-service communication across the workload landscape.
  • Ensure machine accounts, training jobs, and continuous integration/continuous delivery pipelines use dynamic, short-lived tokens instead of long-lived secrets.
  • Maintain and evolve workload identity infrastructure as the compute environment scales, preserving cryptographic soundness and operational reliability.
  • Manage authorization policies as code using Open Policy Agent/Rego, Cedar, or equivalent frameworks, with version control, testing, and deployment pipelines.
  • Integrate policy evaluation into developer workflows and infrastructure deployment pipelines so authorization is enforced at build time and runtime.
  • Partner with engineering teams to design access models that make secure access easy and reduce developer friction that can lead to security circumvention.
  • Build automated provisioning and deprovisioning workflows using SCIM and API-first tooling, with fast, accurate, fully audited identity lifecycle events.
  • Partner with Detection Engineering to instrument identity telemetry and build detection logic for anomalous authentication flows, session hijacking attempts, and nation-state adversary tactics.
  • Improve automation coverage across the identity stack to reduce manual work and human error in identity operations.

About the Company

Reflection AI

Builds AI models and deployment software

Reflection AI develops language models for software developers, companies and governments that want control over how AI is deployed and adapted. Its research concentrates on coding, reasoning and AI agents that work through tasks with software tools. The lab builds the surrounding software and infrastructure as well as models, letting customers run AI through its hosted platform or in their own computing environments. Its commercial work pairs model access with engineers who design applications and support customized enterprise deployments from development through operation. Reflection AI was founded in 2024 and is headquartered in New York City.

Company size
201-500
Company stage
Late Stage VC
Total funding
$4.6B
Headquarters
New York City, New York
Founded
2024

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