Lead Engineer: Agentic Identity for AI Platforms

Cisco Systems, Inc; Birmingham (AL); On-site; USD 214,000 - 310,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with Cisco matching

Paid parental leave

Disability coverage

Life insurance

Job summary

Cisco Systems, Inc in the United States seeks a Technical Leader to define and build core identity capabilities for AI agents across cloud, on-prem, and hybrid architectures. You will lead technical strategy from concept through production deployment, translating complex identity and access challenges into enterprise-grade software.

You will collaborate with Security, AI Platform, Product, and Cloud Operations to align identity architecture with customer workflows, mentor engineers, and deliver

Qualifications

• Bachelor’s or Master’s in a technical field with 8+ years of experience.
• 10+ years in distributed systems and backend services.
• 5+ years with identity/authentication protocols (OAuth 2.0/2.1, OIDC, SAML, SCIM, LDAP, SPIFFE, or mTLS).
• 4+ years with containerization (Docker, containerd, or Kubernetes) and at least one major cloud: AWS, Azure, or GCP.
• 3+ years with security engineering, threat modeling, or architecture reviews.

Responsibilities

• Architect and build core identity capabilities for AI agents across cloud/on-prem/hybrid.
• Deliver reusable APIs, SDKs, CLI tools, and MCP-based access patterns.
• Drive cross-functional alignment with Security, AI Platform, Product, and Cloud Operations.
• Lead architectural direction, code reviews, and engineering standards for non-human identity.
• Deliver production MVPs and iterate scalable services.”

Skills

Distributed systems

Backend services

Security platforms

Identity protocols

OAuth/OIDC/SAML

Containerization

Cloud platforms

Go/C/C++/Java

Threat modeling

Linux

Education

Master's degree

Bachelor's degree

Tools

Docker

Kubernetes

Linux

Go

C/C++

Java

Job description

Cisco Systems, Inc in the United States seeks a Technical Leader to define and build core identity capabilities for AI agents across cloud, on-prem, and hybrid architectures. You will lead technical strategy from concept through production deployment, translating complex identity and access challenges into enterprise-grade software.

You will collaborate with Security, AI Platform, Product, and Cloud Operations to align identity architecture with customer workflows, mentor engineers, and deliver