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Staff Identity Engineer - Remote

Posted Yesterday
Software Development
Full Time
Canada

Overview

We’re hiring a Staff Identity Engineer to help invent the next generation of identity & access control infrastructure - unlocking the true potential of trusted, autonomous agents and enabling businesses, consumers, and developers to transition from static, human-driven point and click experiences to asynchronous agent-driven, human-controlled workflows.

In Short

  • Design and build core authentication, authorization, and data systems.
  • Deliver distributed, asynchronous services with strong security guarantees.
  • Contribute from SDKs and developer-facing APIs to core identity systems.
  • Use agents to build Keycard and shape future agentic coding.
  • Work with a mission-driven team focused on creating agent-native products.

Requirements

  • Deep experience with identity, authentication, and authorization systems.
  • Proven ability to design secure and reliable distributed systems.
  • Fluency in Go, Rust, or similar programming languages.
  • Ability to thrive in ambiguous early-stage environments.
  • Experience in remote collaboration and communication.

Benefits

  • Mission-oriented culture focused on delivering future identity and access controls.
  • Autonomy and mastery over systems and technology.
  • Competitive compensation with equity packages.
  • Comprehensive health benefits and recharge time.
  • Flexible, remote-first work environment.
Keycard Labs logo

Keycard Labs

Keycard Labs is a pioneering company dedicated to redefining machine identity for the AI era. With a mission to empower developers, Keycard Labs focuses on creating a global identity network that utilizes open protocols to enable dynamic, adaptable access patterns for AI systems. The company emphasizes the importance of real-time, identity-based credentials that ensure precise permissions for agents and services, fostering trusted AI systems. By rethinking secret management and machine identity, Keycard Labs aims to delight developers and meet the performance demands of platform engineers in a collaborative and inclusive environment. As an early-stage company, it offers a unique opportunity for team members to shape the engineering culture and contribute to the future of AI infrastructure.

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