Senior Staff Engineer, Agentic Identity

Cisco

Confirmed live yesterday High trust
Closes in 4 days Remote

Quick summary

Work type
Remote
Location
San Francisco, CANorth DakotaMontanaMaineOhioNebraskaLouisianaTexasNevadaHawaiiGeorgiaMississippiConnecticutColoradoWyomingWisconsinWest VirginiaMarylandCaliforniaVermontNew YorkNew JerseyArkansasSouth DakotaPennsylvaniaMichiganIndianaIdahoArizonaNew MexicoNew HampshireKentuckyAlabamaSouth CarolinaIllinoisMissouriMassachusettsIowaTennesseeNorth CarolinaMinnesotaKansasAlaskaRhode IslandDelawareWashingtonVirginiaUtahOregonFloridaOklahoma
Salary
$214,100–$309,800 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Nov 4, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $262k
$145k $328k
below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $166,075–$251,318 — the blue band above. At the midpoint, this role pays about $262k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 296 open roles on FindRole.

Listed pay typically runs $167,700–$245,200 across 228 roles with salary data.

Most-posted roles

View all roles at Cisco

At a glance

TL;DR · Senior Staff Engineer, Agentic Identity

The Senior Staff Engineer - Agentic Identity joins a team building foundational identity, authentication, and governance infrastructure for non-human callers and autonomous agents. This technical leader will define and build core agentic identity capabilities across cloud, on-premises, and hybrid architectures. Key responsibilities include designing scalable identity and access management frameworks, implementing token exchange and credential brokering, and developing reusable APIs, SDKs, and CLI tools. The role requires expertise in distributed systems, backend services, and security platforms using protocols such as OAuth 2.0, OIDC, SAML, SCIM, SPIFFE, and mTLS. Candidates must utilize containerization technologies like Docker and Kubernetes alongside major cloud platforms. The work addresses the evolving paradigm of identity for AI agents executing multi-step actions across critical customer data in enterprise environments.

What does a Engineer earn in California?

Median $199850 from 96 postings across 30 companies.

See salary data

What you'll do

  • Design and implement scalable identity and access management frameworks for AI agents.
  • Build reusable APIs, SDKs, CLI tools, and integration patterns for platform adoption.
  • Lead technical strategy from initial concept through production deployment for agentic identity.
  • Set architectural direction and establish engineering standards for non-human identity systems.
  • Rapidly prototype and iterate production MVPs for ambiguous identity and security problems.
  • Conduct design and code reviews to ensure technical excellence and security standards.
  • Mentor engineering talent and provide technical leadership across the identity team.

What we're looking for

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field with 12+ years of software engineering experience.
  • 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.
  • Experience designing or securing AI-adjacent architectures, tool-using agentic workflows, policy control layers, or Model Context Protocol (MCP) authorization (preferred).
  • Deep technical expertise developing multi-threaded, high-throughput server-side applications in Go, C/C++, or Java on Linux (preferred).

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