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Posted 18 days ago

Staff Software Engineer, Identity and Authorization

@ Domino

Remote in Canada

Remote
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SIGNALS

Overview

Domino is hiring a Staff Software Engineer for its Identity and Access platform (IDSM) to design a centralized, relationship-based authorization framework built on SpiceDB. The role sets architecture direction, leads design reviews, and migrates legacy access checks without disrupting customers.

Responsibilities:

  • Design identity and access architecture on the IDSM platform
  • Lead design reviews and unblock engineers facing ambiguity
  • Plan the migration from legacy access checks to a unified model
  • Establish patterns for AI-assisted development

Requirements summary:

  • Track record evolving enterprise-grade authorization systems in production
  • Hands-on experience with relationship-based or fine-grained authorization
  • Solid grounding in OIDC and SAML
  • Strong Go, Java or comparable backend language
  • Comfort running services on Kubernetes

Tools & skills

Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2026-10-19
First seen by our source
2026-10-19
Source record updated
2026-10-26

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Domino

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

The Enterprise AI platform powering over 20% of the Fortune 100

Full company description

Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. Our platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time. Domino is backed by leading venture capital firms: Sequoia Capital, Bloomberg Beta, Coatue Management, Dell Technologies Capital, Highland Capital Partners, In-Q-Tel, and Zetta Venture Partners.

LinkedIn followers
56,879
People associated on LinkedIn
258
Reported office locations
  • San Francisco, CA, US
Business categories
  • Software
  • Enterprise Applications
  • Enterprise Software
  • Data Mining
  • Analytics
  • Artificial Intelligence (AI)
  • Big Data
  • Machine Learning
  • AI Infrastructure
Other recorded names
  • Domino
  • Domino Data Lab
Specialties
  • Analytics
  • Machine Learning
  • Data Analysis
  • Predictive Analytics
  • Data Science
  • and Data Mining Technology
Profile identifies a recruitment agency
No
Reported total investment
223,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. Our platform enables thousands of data scientists to develop better medicines, grow more productive crops…

FieldValue
IndustrySoftware Development
Company size201-500 employees
HeadquartersSan Francisco, CA
Organization typePrivately Held
Year founded2013
SpecialtiesAnalyticsMachine LearningData AnalysisPredictive AnalyticsData Scienceand Data Mining Technology
Open jobs on Jobsy1
LinkedInView page
Job description

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. 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 new 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 over a decade but are still a small team operating with the spirit of a startup. 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 www.domino.ai

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.

  • A unified authorization model. Extend a centralized, fine-grained, relationship-based model across the platform, replacing feature-specific permission checks with consistent, reusable primitives.
  • Production-grade operations. Harden the authorization layer for the scale, reliability, and security that enterprise and public-sector customers expect.
  • A thoughtful migration path. 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. Rethink how we model groups and organizational hierarchies so large enterprises can represent their teams the way they actually work.
  • Cloud-native identity. 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.

What your impact will be

  • 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.
  • Bring clarity to complex decisions. Articulate the architecture clearly enough that the rest of Engineering can rally around it.
  • Be the go-to authority. 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.
  • Foster ownership and urgency. 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.

What we look for in this role

  • A track record of evolving an enterprise-grade authorization system under real production traffic, with strong opinions about the architecture of these systems
  • Experience designing a new auth system and migrating to it from a legacy approach (a plus)
  • Experience on a platform team supporting other services within a larger engineering organization
  • A background at a company that builds authentication or authorization products (a plus)
  • 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
  • Authorization systems: Hands-on experience with relationship-based or fine-grained authorization, including schema design (relations, permissions, caveats) and the tradeoffs versus traditional RBAC
  • Identity protocols: Solid grounding in OIDC and SAML, and ideally experience with an IdP such as Keycloak, Auth0, Okta, or ForgeRock
  • Cloud identity: Practical experience with workload identity patterns such as AWS IRSA, Azure Workload Identity, or GCP Workload Identity Federation
  • Secrets management: Familiarity with a credential management system such as Vault
  • 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
  • System architecture: 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

What We Value

  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

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