Senior Staff Engineer - Agentic Identity

The application window is expected to close on: 11/03/2026

** Meet the Team*
* Join us as we pursue our vision to make machine data accessible, usable, and secure for everyone. As AI agents rapidly emerge as active users-executing searches, calling APIs, and orchestrating multi-step actions across critical customer data-the fundamental paradigm of identity and access management must evolve.

Our team is at the forefront of this shift, building the foundational identity, authentication, and governance infrastructure required for non-human callers and autonomous agents. By joining our team, you will tackle greenfield architectural challenges at massive enterprise scale, working alongside collaborative security, AI, and platform leaders in a supportive environment dedicated to continuous learning, innovation, and impact.

** Your Impact*
* As a Technical Leader on our team, you will define and build core agentic identity capabilities across cloud, on-premises, and hybrid architectures. You will lead technical strategy from initial concept through production deployment, translating complex identity and access challenges into resilient, enterprise-grade software that protects and powers the next generation of AI systems.

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** Architect and Build Core Capabilities:
** Design and implement scalable identity and access management frameworks for AI agents, including token exchange, credential brokering, workload identity, and delegated access models.

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** Deliver Developer Tooling & APIs:
** Build reusable APIs, SDKs, CLI tools, and integration patterns (including Model Context Protocol/MCP-based access) to enable seamless adoption across platform and product teams.

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** Drive Cross-Functional Alignment:
** Partner with Security, AI Platform, Product, and Cloud Operations teams to align identity architecture with operational constraints and customer workflows.

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** Lead Technical Excellence:
** Set architectural direction, conduct design and code reviews, establish engineering standards for non-human identity, and mentor engineering talent.

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** Deliver Production MVPs:
** Rapidly prototype solutions for ambiguous identity and security problems, validate them with internal and external partners, and iterate them into scalable production services.

** Minimum Qualifications*
* + Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 12+ years of software engineering experience, or a Master's degree with 8+ years of relevant experience.

+ 10+ years of experience designing and building distributed systems, backend services, or security platforms in production environments.

+ 5+ years of experience implementing enterprise identity, authentication, or access protocols (such as OAuth 2.0/2.1, OIDC, SAML, SCIM, LDAP, SPIFFE, or mTLS).

+ 4+ years of experience with containerization technologies (Docker, containerd, or Kubernetes) and at least one major cloud platform (AWS, Azure, or GCP).

+ 3+ years of experience with security engineering principles, including threat modeling, attack-path analysis, or security architecture reviews.

** Preferred Qualifications*
* + Experience designing or securing AI-adjacent architectures, tool-using agentic workflows, policy control layers, or Model Context Protocol (MCP) authorization.

+ Deep technical expertise developing multi-threaded, high-throughput server-side applications in Go, C/C++, or Java on Linux.

+ Familiarity with AI-specific security risks, such as prompt injection, tool misuse, privilege escalation, and unsafe delegation patterns.

+ Experience contributing to industry standards bodies (e.g., IETF, OpenID Foundation, AuthZEN) or presenting at technical industry conferences.

+ Working knowledge of device…