# Staff Fullstack Engineer, AI Acceleration Team

**Company**: Okta
**Location**: Toronto, ON
**Experience**: staff
**Job type**: full-time
**Salary**: $160,000-$220,000 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/okta/jobs/8109399?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ad512c62-957

## Description

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI.

Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes.

## The AI Acceleration Team

The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorise what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly. Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them.

## The Staff FullStack Engineer Opportunity

As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorisation and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar.

### Responsibilities

- Solve core authorisation challenges: Define how companies authorise agent actions and enforce least privilege for what an agent can do on a user's behalf.

- Design secure access: Build phishing-resistant authentication and authorisation for both people and the agents acting for them.

- Shape the product: Bring a product mindset to dig into what customers need, define the desired outcomes, and build toward them rather than just executing solutions.

- Own the quality bar: Act as the voice for product and quality judgment in the room, taking ownership of the outcome, not just the code.

- Drive technical architecture: Make and defend architectural decisions on distributed systems and complex API integrations that will scale as the work grows.

- Modernise development: Advance how we use AI across our development lifecycle,how we design, review, and ship,and bring the rest of the team along with you.

- Coach and multiply: Raise the technical bar of the entire team, building judgment in others rather than trying to solve everything yourself.

- Improve engineering excellence: Spot and prioritise tech debt, driving improvements beyond feature work (CI/CD, observability, documentation, reliability, and support).

- Stay customer-aware: Build with a clear, direct line to the customer problem and the outcome you're solving for, even if you aren't in every customer conversation.

### Requirements

- A self-starter mentality: The ability to spot what matters, drive work autonomously, and thrive in ambiguity while helping to form a new charter.

- Advanced AI tool proficiency: The ability to apply AI meaningfully across the software development lifecycle, evaluate new tooling with good judgment, and establish practices for the wider team.

- Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact.

- Security fundamentals: A solid grasp of web authentication and authorisation, including how auth flows work and how to secure sensitive user data.

- Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language.

- Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends.

- Cloud infrastructure knowledge: Strong cloud architecture fundamentals, with experience designing and operating large-scale services on AWS.

## Benefits

- Annual base salary range: $160,000-$220,000 CAD

- Equity (where applicable)

- Bonus

- Health, dental, and vision insurance

- RRSP with a match

- Healthcare spending

- Telemedicine

- Paid leave (including PTO and parental leave)

## Skills

### Required
- AI tool proficiency
- Architectural expertise
- Security fundamentals
- Backend proficiency
- Frontend flexibility
- Cloud infrastructure knowledge
- JavaScript/TypeScript
- Java

### Nice to have
- Background working on a zero-to-one, startup-like team
- Track record of leading a team through a real shift in how they work
- Familiarity with developing Identity and Access Management (IAM) tooling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/okta/jobs/8109399?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)