Software Engineer, Identity Software

Front Door Defense

San Francisco (CA)

On-site

USD 216,000 - 270,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

Job summary

Front Door Defense is seeking a Software Engineer for Identity in San Francisco to develop their identity platform for secure user authentication and authorization. You will design identity infrastructure, manage authentication mechanisms such as SSO and MFA, and ensure compliance with security policies.

Ideal candidates will have extensive engineering experience, particularly in identity systems, as well as knowledge of IAM controls and distributed systems. The role offers a competitive compensation package ranging from $216,000 to $270,000 per year.

Qualifications

  • 4+ years of engineering experience with specialties in infrastructure and identity systems.
  • Hands-on experience working with authorization frameworks at scale.
  • Track record of independent ownership of successful engineering projects.

Responsibilities

  • Drive the design and implementation of identity infrastructure.
  • Manage authentication mechanisms like SSO and MFA.
  • Work with auditors to ensure compliance with security policies.

Skills

Infrastructure expertise – IAM controls
Strong understanding of authentication standards
Extensive experience in software development
Strong knowledge of distributed systems

Education

Bachelor's degree in Engineering or related field

Tools

Terraform
AWS
OAuth 2.0
SAML

Job description

Software Engineer, Identity
Own and evolve Scale AI's identity platform to securely authenticate and authorize users across all services

Location: San Francisco Bay Area, New York

Compensation: $216,000 - 270,000 USD / year

Job Tags: Software

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre‑training, fine‑tuning, and production evaluations. This is the main innovation that enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world‑class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

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.
  • Present 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 specialties 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.

The base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD

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.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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