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Senior Software Engineer, Identity & Access

Job Overview

Location

SF Office - 171 2nd, 4th floor

Job Type

Full-time

Category

Software Engineering

Date Posted

June 21, 2026

Full Job Description

📋 Description

  • Own the enterprise authentication layer for Stack AI’s no-code AI workflow platform, delivering SSO via OIDC and SAML to enable customers to onboard using their existing identity providers.
  • Design and implement role-based access control (RBAC) with fine-grained, query-time permission enforcement across the entire product to ensure precise control over who can access what data and functionality.
  • Build and maintain SCIM provisioning and directory synchronization systems to keep user and group identities in sync with customer directories such as Azure AD or Okta.
  • Develop delegated and machine identity systems including token exchange, on-behalf-of flows, service accounts, and domain-wide delegation to allow agents and automated services to act with scoped, secure authority.
  • Architect and implement access governance controls including entitlement management, session and token lifecycle handling, and audit trails to ensure compliance and clean access at enterprise scale.
  • Lead the end-to-end ownership of identity and access infrastructure from user sign-on through to revocation, ensuring security, scalability, and usability for enterprise administrators.
  • Collaborate with product and security teams to translate enterprise compliance requirements into technical specifications for authentication and authorization systems.
  • Optimize the identity layer for multi-tenant SaaS environments, ensuring isolation and correct permission boundaries between customers and their internal teams.
  • Write clean, maintainable backend code in Python using modern frameworks like FastAPI to support high-throughput, low-latency access control decisions.
  • Ensure the identity system meets the demands of regulated industries by enabling auditability, traceability, and granular control over user permissions and access sessions.
  • Drive the adoption of enterprise-grade identity patterns across the platform, making Stack AI viable for large organizations with complex security and compliance needs.
  • Participate in code reviews, system design discussions, and incident response for identity-related outages or security events.
  • Advocate for secure, intuitive access experiences for both end users and enterprise administrators managing permissions across hundreds or thousands of users.
  • Continuously evaluate and improve the identity stack based on customer feedback, emerging standards, and threat models.
  • Work closely with customer success and support teams to resolve complex identity integration issues for enterprise clients.
  • Document system architecture, API contracts, and operational procedures for internal and external stakeholders.

🎯 Requirements

  • 4+ years building backend systems, with significant time spent on identity, authentication, or authorization.
  • Real depth in OIDC, OAuth2, SAML, token exchange, and multi-tenant RBAC.
  • You've built or owned enterprise SSO and identity systems, with a strong grasp of identity-provider architecture and enterprise auth patterns.
  • Strong in Python and modern backend frameworks (FastAPI or similar).
  • You care about clean, well-architected access control and the experience of the administrators who manage it.

🏖️ Benefits

  • Join a lean, high-impact team and own the access layer that lets the largest enterprises adopt Stack AI.
  • Your work ships fast and is felt across the whole product.
  • Stack AI is an equal opportunity employer committed to creating an inclusive environment for all employees.

Skills & Technologies

Python
FastAPI
REST
Senior
Onsite

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About Stack AI Inc.

Stack AI Inc. provides a low-code platform for building, deploying and scaling AI workflows and applications. Its cloud service offers drag-and-drop builders, pre-built templates, vector databases, model orchestration and enterprise-grade security, enabling teams to integrate large language models and data sources into chatbots, assistants and process automations without deep ML expertise.

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