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C1

Site Reliability Engineer

Portland Office (Remote)$180k–$250kfulltimemidAdded today

About this role

C1.ai is seeking a Site Reliability Engineer to build and operate the infrastructure powering their horizontal identity platform. You'll own system reliability, observability, and automation across cloud environments including FedRAMP-authorized infrastructure, working in a fast-moving startup with real ownership over foundational systems.

What you'll do

  • Design, build, and operate cloud infrastructure across standard and FedRAMP environments to ensure platform reliability and scalability
  • Develop monitoring, alerting, and observability tooling that enables rapid incident response and system understanding
  • Lead incident response efforts, conduct blameless postmortems, and drive systemic improvements
  • Partner with engineering teams to embed reliability practices into feature development from the start
  • Automate operational tasks and infrastructure management using infrastructure-as-code principles
  • Plan and execute infrastructure projects with iterative deliverables while assessing technical risks and communicating tradeoffs

What they're looking for

  • Cloud infrastructure (AWS, GCP, or equivalent)
  • Infrastructure-as-code tools (Terraform, Pulumi, or similar)
  • Programming in Go, Python, or comparable languages
  • Kubernetes and container orchestration in production
  • Systems thinking and failure mode analysis
  • Observability, monitoring, and alerting architecture
  • AI-assisted development tools (Claude Code, Cursor, Copilot)
  • Clear communication and incident leadership

Benefits

  • Salary: $180,000 – $250,000 annually
  • Meaningful equity
  • Full medical, dental, and vision coverage
  • In-office work in Portland
  • Independent, trusted work environment
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C1

C1 builds a foundational identity platform that manages access across modern enterprise systems, SaaS, infrastructure, and AI agents. The company is hiring Software Engineers to work on end-to-end, high-impact projects in a small, fast-moving team.

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Likely interview questions

  • Tell us about a production system you've operated at scale and a critical incident you responded to—what did you learn?
  • Describe your approach to designing observability for a new service. How do you decide what to instrument and alert on?
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