Senior AI Platform DevOps Engineer

Clutch Canada; United States; On-site; USD 150,000 - 206,000; Full time

Job summary

D-Wave Quantum Inc. is seeking an experienced AI Platform DevOps Engineer to design, build, deploy, and operate AI-powered tools and workflows that boost developer productivity and accelerate quantum computing delivery. You will integrate Bedrock, AI agents, n8n, Artifactory and ArgoCD into scalable, secure pipelines.

Join a Product Development team to design and operate AI-driven platforms, contribute to deployment pipelines, and drive security, governance, and reliability across the stack.

Qualifications

• Bachelor's degree in CS, CE or related field or equivalent experience.
• 5+ years designing, deploying, operating, and troubleshooting cloud and on-prem infrastructure.
• Hands-on production AI apps experience (LLM, agents, workflows).

Responsibilities

• Design, implement, and operate internal AI tools platform.
• Streamline AI build processes and release management via CI/CD pipelines.
• Build and operate pipelines for models, prompts, and evaluations with versioning and rollback.
• Participate in security reviews and implement required controls.
• Apply DevOps best practices to testing, monitoring, and reliability of the AI platform.
• Respond to incidents and perform root-cause analyses.
• Lead AI platform architecture discussions and participate in on-call rotation.

Skills

DevOps experience

Cloud & on-prem

LLM apps

AI platforms

CI/CD pipelines

Terraform

Kubernetes

Python

Linux admin

Monitoring

Education

Bachelor's degree in CS/Engineering

Tools

AWS Bedrock

AgentCore

n8n

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 workflows that boost developer productivity and accelerate quantum computing delivery. You will integrate Bedrock, AI agents, n8n, Artifactory and ArgoCD into scalable, secure pipelines.

Join a Product Development team to design and operate AI-driven platforms, contribute to deployment pipelines, and drive security, governance, and reliability across the stack.