Scale AI

Software Engineer, Identity

Scale AI$216K — $270K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of engineering experience focusing on infrastructure and identity systems.
  • Expertise in IAM controls and Infrastructure as Code (Terraform, Pulumi).
  • Hands-on experience with OpenFGA, Authzed, or similar frameworks at scale.
  • Understanding of Zanzibar-based ReBAC models and access control evaluation.
  • Knowledge of authentication standards such as OAuth 2.0, OIDC, and SAML.
  • Experience in distributed systems and public cloud platforms, particularly AWS.
  • Proven track record of leading successful engineering projects.

Responsibilities

  • Drive design and implementation of identity infrastructure for secure authentication and authorization.
  • Manage authentication mechanisms including SSO, MFA, and federated solutions.
  • Oversee authorization mechanisms like ReBAC, ABAC, and RBAC.
  • Collaborate with auditors to enforce identity governance policies.
  • Present technical information and best practices to teams and stakeholders.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits and equity-based compensation opportunities.
  • Learning and development stipend.
  • Generous paid time off (PTO).
  • Potential commuter stipend.
Full Job Description
Software Engineer, Identity

At the foundation of these products is the Platform Engineering team. In this role, you will help support the design and development of core platforms and software systems, while supporting identity, access management, authorization, and authentication. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

You will:
  • Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems.
  • Manage authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect).
  • Manage authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC).
  • Work with auditors and security teams to enforce identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards.
  • Presenting technical information to teams and stakeholders, providing guidance and insight on identity management and best practices.

Ideally you'd have:
  • 4+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems.
  • Infrastructure expertise - IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices.
  • Hands-on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale.
  • Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access control evaluation.
  • Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT.
  • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
  • Show a track record of independent ownership of successful engineering projects.
  • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Nice to haves:
  • Experience securing API access and implementing access control mechanisms at the application level.
  • Multi-cloud infrastructure experience - AWS, Azure, GCP, and more.
  • Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET.


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$216,000-$270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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