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Staff Fullstack Engineer, Okta Secures AI

Leads architecture and implementation of Okta’s Identity Security Fabric for human and AI-agent identities. The role combines scalable backend systems, Java and TypeScript full-stack development, AWS, authentication and authorization, and technical leadership in AI-native engineering practices.

About the job

Responsibilities

  • Shape the technical strategy of the Identity Security Fabric and partner with leadership to prioritize open standards such as IPSIE.
  • Implement the four-pillar maturity model—Discover, Onboard, Protect, and Govern—across full-stack ecosystems.
  • Architect systems to discover and secure agents, including “Shadow AI” assets.
  • Enforce secure access and least privilege for agents through Agent Gateways and short-lived credentials.
  • Advance AI-native development practices across design, review, and software delivery workflows.
  • Identify and prioritize technical debt, including improvements to CI/CD, observability, documentation, reliability, and support processes.
  • Partner with Product and Design to own desired customer outcomes.
  • Mentor peer engineers and raise the team’s technical bar.

Requirements

  • Apply AI meaningfully across the full software development lifecycle, evaluate AI tooling, and establish effective team practices.
  • Define scalable backend architectures and integrate complex APIs with modern web technologies.
  • Make and defend architectural decisions with lasting organization-wide impact.
  • Understand web authentication and authorization fundamentals and best practices for securing sensitive user data.
  • Build highly reliable, secure, enterprise-grade software using Java or another type-safe programming language.
  • Proficiency in JavaScript and TypeScript, including the ability to contribute to frontend development.
  • Understand cloud architecture principles and design and operate large-scale services on AWS.

Nice-to-haves

  • Lead an engineering team through a significant shift in ways of working, such as AI adoption, developer tooling, or engineering culture change.
  • Build or maintain publicly released SDKs used by external developers.
  • Experience developing Identity and Access Management (IAM) tooling.
  • Experience contributing to a zero-to-one, startup-like team.

Compensation and Benefits

  • Annual base salary range for candidates located in Canada: $160,000–$220,000 CAD.
  • Equity, where applicable, bonus, health, dental, and vision insurance.
  • RRSP with a match, healthcare spending, telemedicine, and paid leave, including PTO and parental leave.

Skills

Java, JavaScript, TypeScript, AWS, Distributed Systems, REST APIs, Web Authentication, Authorization, IAM, CI/CD, Observability, SDKs, Ipsie, Mcp, Cloud Architecture

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