Staff Software Engineer, AI Agentic Experience (auth0)

Okta Okta · Enterprise · San Francisco, CA · Emerging Tech-694

Staff Software Engineer focused on building developer tooling, infrastructure, and experiences for AI agents and secure AI applications within the Auth0 platform. This role involves integrating with AI frameworks, creating adapters for agent runtimes, and ensuring the security of agent-to-service communication.

What you'd actually do

  1. Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers
  2. Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments
  3. Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem
  4. Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt)
  5. Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers

Skills

Required

  • Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers
  • Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts
  • Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines
  • Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT
  • Demonstrated experience leading architecture and design efforts for scalable, production-grade systems
  • Comfort contributing to and maintaining open source projects and engaging with developer communities
  • A passion for documentation as part of the developer experience—not just writing code, but making it understandable and usable
  • Ability to thrive in highly collaborative environments with cross-functional stakeholders

Nice to have

  • React
  • Next.js
  • FastAPI
  • Token Vault
  • Async Authorization
  • Fine-Grained Authorization (FGA)

What the JD emphasized

  • building for other engineers
  • working across stacks
  • shaping the future of AI enablement in production systems
  • agent authentication
  • orchestration frameworks
  • building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications

Other signals

  • building infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications
  • Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers
  • Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication