Are you ready to get the Easygo Edge?

The Identity Engineer will help build - not just run - a new identity platform that every person, system and AI agent at Easygo authenticates through.

What you’ll build with us

It’s a greenfield project: standing up a modern cloud identity platform, and operationalising it. The foundation is only the start and we have so much more to build on top of that ncluding identity and security for agentic AI.

Alongside delivery, you'll be the identity subject-matter expert — partnering with engineering and product teams so they can build fast without having to worry about identity, making secure authentication and authorisation the easy path.

Success requires strong hands-on identity engineering skill with an AI first mindset, a collaborative and proactive way of thinking, clear communication, and the ability to balance reliable day-to-day operations with continuous improvement in a fast-moving environment.

We know that innovation ignites when we build and create together, in person. This is a full-time opportunity at our Melbourne office. You’ll work right where it all happens, surrounded by our fearless crew shipping high-impact work.

Who is Easygo?

We’re a high-growth, high-velocity tech company with millions of eyeballs on us every day. We’re building the future of fearless tech. We’re the creators behind some of the most popular brands including Stake, KICK and Easygo Games. While they command a fierce global following, our crew is employed directly by Easygo and that’s where the real fun happens.

We’re always looking for people who are hungry, humble and move fast. People who are ready to Unify, Disrupt and Evolve with us. With us you’ll grow faster and go further. Your work has impact. And that gives you an edge you can’t get anywhere else.

The impact you’ll make

Build and run the workforce identity platform, and integrate Easygo’s applications, services and AI agents with it, from sign-on and MFA to provisioning and service-to-service authentication.
Build identity for AI agents: every agent has an accountable identity with scoped, delegated access, so we always know who it is, who it acts for and what it can do.
Automate the identity lifecycle so access follows HR data and policy.
Manage identity as code and automate manual work, using AI coding agents as part of how you build and run the platform.
Use risk signals and identity threat detection to stop risky sign-ins and respond automatically.
Build an AI-native identity operation. Use agents to automate onboarding, access requests and lifecycle tasks, with humans approving high-impact actions.
Support identity governance and privileged access as they mature, and extend them to non-human and agent identities.

Your track record

Essential

Strong software or platform engineering background. You write production-quality code (e.g. Python, TypeScript or Go) and work with REST APIs, Git and CI/CD every day.
Strong demonstration of AI-first engineering: AI coding agents are part of how you build, and you use agentic workflows to run operations, such as automating routine tasks, triaging issues and drafting fixes, with the right guardrails and human review.
Deep, practical understanding of OAuth 2.0, OIDC, SAML and SCIM: what goes in a token and why, how each flow works, and how each one gets attacked.
Hands-on experience engineering a modern workforce identity platform, including at least one identity migration. PingOne (including DaVinci) experience is a strong plus.
Manages configuration as code with Terraform, pull requests and automated pipelines.

Bonus points if you also have

Understands identity and security for AI agents: agent identity, delegated (on-behalf-of) access, scoped short-lived credentials, MCP authorisation and prompt-injection risks.
Hands-on with identity architecture patterns: identity-aware proxy, workload identity, token exchange and delegation, federation across organisations.
Has implemented privileged access (just-in-time access, session brokering) at enterprise scale.