Senior AI Platform DevOps Engineer

United States Digital Space LLC

United States

Remote

USD 150,000 - 206,000

Full time

14 days+

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Job summary

D-Wave Quantum Inc. is seeking an experienced AI Platform DevOps Engineer to design, build, deploy, and operate AI-powered tools and platforms that boost developer productivity and accelerate quantum computing tech delivery.

You’ll integrate Bedrock, AI agents, n8n, ArgoCD, and related services into scalable development workflows. You will collaborate with DevOps and Product teams, implement security controls, and continuously improve performance, durability, and reliability of our internal AI

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical discipline or equivalent experience.
  • 5+ years designing, deploying, operating, and troubleshooting modern cloud/on-prem infrastructure and DevOps platforms.
  • Hands-on production AI apps including LLMs, AI agents, or workflow automation.

Responsibilities

  • Design, build, deploy, and operate internal AI tools platform.
  • Develop CI/CD pipelines for AI models, prompts, and evaluations with versioning and cost tracking.
  • Participate in security reviews and implement required controls and configurations.
  • Lead AI platform architecture discussions and assist in on-call rotations.
  • Promote AI best practices and data handling standards.

Skills

Cloud experience
Linux administration
Python/Go scripting
CI/CD practices
Troubleshooting
Collaboration

Education

Bachelor’s degree in CS/CE or related

Tools

Kubernetes
Terraform
ArgoCD
Artifactory
Jenkins
Git

Job description

D-Wave Quantum Inc. is seeking an experienced AI Platform DevOps Engineer to design, build, deploy, and operate AI-powered tools and platforms that boost developer productivity and accelerate quantum computing tech delivery.

You’ll integrate Bedrock, AI agents, n8n, ArgoCD, and related services into scalable development workflows. You will collaborate with DevOps and Product teams, implement security controls, and continuously improve performance, durability, and reliability of our internal AI

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