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Systems Engineer - Remote

Posted 6 weeks ago
Software Development
Full Time
USA

Overview

Keycard is on a mission to redefine machine identity for the AI Era, empowering developers to seamlessly connect people, agents, and services across networks, clouds, and applications.

In Short

  • Help design, build, and operate Keycard's core systems.
  • Collaborate closely with founders and early employees.
  • Build reliable, pragmatic systems for AI applications.
  • Take ownership of projects from start to finish.
  • Mentor teammates and contribute through code review.
  • Shape an engineering culture that values collaboration.
  • 5+ years of experience with scalable systems.
  • Experience with TypeScript, Go, Rust, Kubernetes, and Terraform.
  • Remote-first work environment.
  • Competitive compensation and equity offered.

Requirements

  • 5+ years of building scalable, reliable distributed systems.
  • Experience with modern cloud services like GCP, Azure, AWS.
  • Ownership mindset and ability to manage ambiguity.
  • Passionate about crafting functional products.
  • Curious and growth-oriented with a desire to learn.

Benefits

  • Competitive health, dental, and vision coverage.
  • Flexible, remote-first work environment.
  • 4 weeks of vacation and 11 statutory holidays.
  • Autonomy to shape technology and processes.
  • Top-of-the-line equipment provided.
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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