Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing current medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit What we are building Domino’s Identity and Access platform (IDSM) is the foundation for how customers in some of the world’s most regulated industries manage who can see and do what. We’re evolving it into a centralized, relationship-based authorization framework built on SpiceDB, and you’d be the technical anchor for its next phase.

Production-grade operations. Harden the authorization layer for the scale, reliability, and security that enterprise and public-sector customers expect.





Make the sequencing and design calls that let us retire legacy access checks without disrupting customers along the way.

Groups and organizations that mirror real customers. Deepen integration with cloud workload identity, starting with AWS IRSA and extending to Azure and GCP equivalents.

Foundations other teams build on. Design core identity and access capabilities, with clean interfaces and flexible abstractions, that engineers across the company can adopt with confidence.

A stronger way of building. Set the patterns for how the team uses AI-assisted development to ship high-quality features faster, without compromising security or code quality.

Set the architectural direction. Design identity and access solutions that meet customer demands for managing user and group access, and are secure, scalable, and built on primitives teams can reuse.

Articulate the architecture clearly enough that the rest of Engineering can rally around it.

Engineers and teams building on IDSM will bring their auth questions to you, and your technical judgment will carry real influence.

Raise the engineering bar. Lead design reviews, unblock engineers facing ambiguity, and champion flexible abstractions and well-thought-out interfaces.

Increase velocity and reduce maintenance. Improve our architecture,



including removing tech debt, so the team ships faster with less ongoing maintenance.

Shape how we build with AI. Establish patterns for using AI-assisted development to deliver high-quality features faster without compromising security or rigor.

Help the team know what to build and value both quality and speed of iteration and contribute to experiences that make identity and user management easier for the enterprises we serve.

A track record of evolving an enterprise-grade authorization system under real production traffic, with strong opinions about the architecture of these systems

A concrete example of an auth system you helped build that solved a recurring class of customer challenges

A history of helping teams become better engineers by improving designs, velocity, and quality

Solid grounding in OIDC and SAML, and ideally experience with an IdP such as Keycloak, Auth0, Okta, or ForgeRock

Practical experience with workload identity patterns such as AWS IRSA, Azure Workload Identity, or GCP Workload Identity Federation

Backend engineering: Strong Go, Java, or a comparable language, comfort running services on Kubernetes, and API design instincts from owning a platform others build on

Experience architecting auth frameworks that scale to enterprise customers

AI-assisted development: Considered, real-world experience using AI coding tools while maintaining code quality and security rigor

High-performing creative individuals who dig into problems and see the opportunities for success

LI-Remote

📌 Lead/Staff Software Engineer - REMOTE (Canada)
🏢 Recognized
📍 Canada