Senior AI DevOps Developer [584]
Build and operate an internal AI platform that automates developer workflows, deploys LLM tools, and integrates AWS Bedrock and agentic frameworks to accelerate quantum-computing tooling.
- Compensation
- $150K–$206K / yr
- Location
- Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience
Full description
About the role
D-Wave is seeking an experienced Senior AI DevOps Developer to join our Product Development team. In this role, you will design, build, deploy, and operate AI-powered tools, platforms, and workflows that improve developer productivity, automate repetitive tasks, reduce operational overhead, and accelerate the delivery of our quantum computing technologies.
Working alongside talented DevOps engineers and Product Development teams, you will help build and evolve our internal AI platform, integrating technologies such as Amazon Bedrock, AI agents, n8n, Artifactory, ArgoCD, and other supporting services into scalable, secure, and reliable development workflows.
You will play a key role in designing and operating AI-powered development, on-call, and agentic workflows, partnering across engineering teams to prioritize, implement, and continuously improve AI initiatives that enable innovation across the organization.
What you'll do
- Design, implement, and operate our internal AI tools platform
- Work with our development teams to streamline our internal AI build processes and release management (build processes and release management processes that incorporate AI (to function) and build processes and release management of AI-related tools, solutions, workflows) via continuous integration and deployment pipelines
- Build and operate deployment pipelines for models, prompts, and evaluations, including versioning, cost tracking, and rollback strategies
- Participate in security reviews and compliance efforts, designing and implementing the security controls, access rules, and service configurations needed to meet those requirements
- Apply DevOps best practices to testing and monitoring, continuously improving the performance, durability, and reliability of our internal AI platform
- Respond to operational incidents and development questions related to our internal AI platform and perform root-cause analysis
- Continuously monitor and improve the performance, durability, and reliability of our internal AI platform
- Promote AI best practices (usage policies, guardrails, and data handling standards) across development teams in-compliance with company policy
- Participate in AI office hours and lead group discussions
- Lead AI platform architecture discussions relating to model and design tradeoffs
- Join the on-call rotation to help ensure the high availability and reliability of D-Wave applications
Required
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience