Staff FullStack Engineer, Okta Secures AI

United States Digital Space LLC; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Bonus

Health, dental, and vision insurance

RRSP match

Healthcare spending

Telemedicine

Paid leave including PTO and parental

Job summary

United States Digital Space LLC is seeking a Staff FullStack Engineer to help build the industry's first Identity Security Fabric for the agentic era. You will lead the technical implementation of a four-pillar maturity model to provide enterprise-grade visibility and governance for human and non-human identities.

You will design secure, scalable systems on AWS, integrate complex APIs, and champion AI-native development practices while driving improvements in CI/CD, observability, and

Qualifications

• Deep expertise in distributed systems and AI-native engineering.
• Experience defining scalable backend architectures and integrating complex APIs.
• Solid understanding of web authentication and authorization fundamentals.

Responsibilities

• Shape the technical strategy of the Identity Security Fabric with leadership.
• Govern and monitor agentic behavior across fullstack ecosystems.
• Architect scalable systems to discover and secure all agents, including Shadow AI assets.
• Enforce secure access and least privilege for agents with short-lived credentials.
• Drive AI-native development practices across the team.

Skills

Java

TypeScript

JavaScript

AWS

Backend architecture

Auth basics

Tools

REST APIs

Microservices

Job description

**Secure Every Identity, from AI to Human

**Identity is the key to unlocking the potential of AI. the company secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The the company Secures AI Team

The the company 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 the company’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 the company 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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Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, the company offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit:https://rewards.the company.com/can.

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