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StackAI

Low-code platform to build AI workflows

Senior Software Engineer - Identity & Access

Backend EngineeringConfirmed live in the last 24 hours
Full-time$202k - $230k /yrHybrid

About the Job

Requirements

  • At least 4 years of experience building backend systems, with significant experience in identity, authentication, or authorization.
  • Strong expertise in OIDC, OAuth2, SAML, token exchange, and multi-tenant role-based access control.
  • Experience building or owning enterprise single sign-on and identity systems, with a strong understanding of identity-provider architecture and enterprise authentication patterns.
  • Proficiency in Python and modern backend frameworks such as FastAPI.

Responsibilities

  • Deliver enterprise single sign-on across OIDC and SAML so customers can onboard using their own identity provider.
  • Build role-based access control with fine-grained, query-time enforcement across the product.
  • Deliver SCIM provisioning and directory synchronization so user and group management stays aligned with customers' directories.
  • Build token exchange, on-behalf-of flows, service accounts, and domain-wide delegation so agents and services act with scoped authority.
  • Build entitlements, session and token management, and controls to keep access clean and auditable at scale.

Desired Qualifications

  • Experience with SCIM and directory synchronization at scale.
  • Experience with authorization frameworks and policy engines such as OPA, Cedar, or Zanzibar-style systems.
  • Experience with entitlements, usage-based metering, or billing systems.
  • Experience with multi-tenant SaaS at scale.
  • Startup or growth-stage experience.

About the Company

StackAI

Low-code platform to build AI workflows

Stack AI provides an enterprise-focused, no-code platform for building and deploying custom AI agents and workflow automations. Its product uses a visual drag-and-drop interface to connect data sources and large language models with enterprise systems, enabling users to create knowledge assistants, contract analysis, RFP responses, due diligence, and document data extraction without deep coding. The platform differentiates itself with enterprise deployment options (including on-premise), compliance (SOC 2, GDPR, HIPAA), and tiered pricing, aimed at rapid deployment to boost back-office productivity. Its goal is to help organizations maximize model accuracy and reduce deployment times by bridging corporate data with LLM capabilities to automate business processes.

Company size
51-200
Company stage
Series A
Total funding
$19.1M
Headquarters
San Francisco, CA
Founded
2021

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