Ai Risk Jobs in Toronto, ON (NOW HIRING)

The Okta Secures AI Team

The Okta Secures AI Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure. 

Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era. As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI.

We are tackling this by implementing a comprehensive four-pillar maturity model: Discover, Onboard, Protect, and Govern. We are driving innovation by defining the standards for Agent Identity-including pioneer work with the AI Agent Tool Registry and support for protocols like MCP and IPSIE. You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision-whether made by a human or an automated agent-is authenticated, authorized, and audited at scale.

We are a diverse team of engineers, product managers, and designers who are bringing Okta's expertise in identity to define the future of Agent Identity management, focusing on enablement while staying secure.

The Staff FullStack Engineer Opportunity

As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: "To get AI right, you have to get identity right."

You will lead the technical implementation of our four-pillar maturity model-Discover, Onboard, Protect, and Govern-to provide enterprise-grade visibility and governance for both human and non-human identities. By architecting solutions that move beyond reactive perimeter security, you will empower organizations to prevent "Shadow AI" and transform AI risk into business ROI.

This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access-enforcing the principle of least privilege for every agent action.

What you'll be doing 

• Proactively shape the technical strategy of the Identity Security Fabric, partnering with leadership to prioritize open standards like IPSIE.
• Govern and monitor agentic behavior by implementing the four-pillar maturity model across our fullstack ecosystems.
• Architect for the agentic era, ensuring systems can discover and secure all agents, including "Shadow AI" assets.
• Enforce secure access and least privilege for agents through capabilities like Agent Gateways and short-lived credentials.
• Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
• Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.
• Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.
• Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

What you'll bring to the role

• Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.
• Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.
• Solid understanding of web authentication and authorization fundamentals - how auth flows work, and best practices for securing sensitive user data.                                                                                                                                               
• Deep expertise in building highly reliable, secure, enterprise-grade software using Java or another type safe programming language.
• Proficiency in JavaScript/TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.
• Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS

And extra credit if you have experience in any of the following! 

• Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.
• Experience building or maintaining publicly released SDKs used by external developers.
• Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling and contributing to a "zero-to-one" startup-like team.

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