Staff CI/CD Architect for AI-Driven Release Orchestration

Doist

San Francisco (CA)

On-site

USD 180,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits

Job summary

Comfy is seeking an experienced CI/CD/Release Engineer in San Francisco to build and maintain the automated delivery pipelines for a fast-moving AI-enabled team. You will design cross-repo release orchestration, spin up ephemeral PR environments, and collaborate with QA and development to weave tests into releases.

Ideal candidates have hands-on Kubernetes and ArgoCD expertise, a passion for reliable, scalable delivery systems, and a startup mindset that thrives on ownership and solving complex

Qualifications

  • Have run Kubernetes and ArgoCD in production and manage infrastructure through code.
  • Built CI/CD for complex multi-service systems used by multiple teams.
  • Care about reliability of software delivery systems and fast, stable pipelines.
  • Have opinions on agentic coding and scalable infrastructure needs.
  • Startup mindset with ownership and problem-solving at scale.

Responsibilities

  • Build CI for an AI-enabled team and unlock development velocity.
  • Orchestrate releases across many repositories and services.
  • Design release processes coordinating delivery across components.
  • Integrate release processes across teams for lockstep shipping.
  • Provide test environments for humans and agents per PR.
  • Inject test suites into release pipelines to ship quality at speed.
  • Provide self-serve infrastructure for creators to test and model with tools.

Skills

Kubernetes
ArgoCD
CI/CD
Infrastructure as code
Multi-service orchestration
Test environments

Tools

ArgoCD

Job description

Comfy is seeking an experienced CI/CD/Release Engineer in San Francisco to build and maintain the automated delivery pipelines for a fast-moving AI-enabled team. You will design cross-repo release orchestration, spin up ephemeral PR environments, and collaborate with QA and development to weave tests into releases.

Ideal candidates have hands-on Kubernetes and ArgoCD expertise, a passion for reliable, scalable delivery systems, and a startup mindset that thrives on ownership and solving complex

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