Staff Software Engineer, Identity and Authorization

Posted 21 Days Ago
Hiring Remotely in US
Remote or Hybrid
250K-280K Annually
Senior level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role

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

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Compensation Range
$250,000—$280,000 USD

Skills Required

  • 8+ years of experience in software engineering individual contributor roles
  • Extensive experience or knowledge designing, building, and deploying AI or machine learning models
  • Understanding of model development, training, optimization, and lifecycle management
  • Experience developing and managing high-performance backend systems in distributed computing environments
  • Experience collaborating with cross-functional teams to integrate systems with front-end interfaces and third-party services
  • Experience designing and implementing secure, scalable RESTful APIs or gRPC services
  • Experience profiling and optimizing backend performance in cloud or containerized environments
  • Experience with Docker and Kubernetes
  • Experience with unit, integration, and end-to-end testing
  • Experience setting up CI/CD pipelines
  • Experience with Apache Spark, Azure ML, or AWS SageMaker
  • Proficiency with AWS, Azure, or GCP cloud platforms

Domino Data Lab Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Domino Data Lab and has not been reviewed or approved by Domino Data Lab.

  • Healthcare Strength — Health coverage is positioned as premium, including a $0‑premium option for employees and dependents, with mental‑health coverage and a Calm subscription available. These features point to robust medical, dental, and vision support.
  • Leave & Time Off Breadth — Time off and flexibility are emphasized through flexible/unlimited PTO and a remote‑first approach. This setup signals considerable autonomy in managing time away from work.
  • Wellbeing & Lifestyle Benefits — Extras such as commuter benefits, a home‑office/equipment stipend, and wellness reimbursements expand everyday support. An EAP and fitness perks further bolster lifestyle and wellbeing offerings.

Domino Data Lab Insights

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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