Senior AI DevOps Developer

Job Description

Job Title: Senior AI DevOps Developer [584]. Location: Remote, United States / Canada
Job Type: Full-Time, Remote

Responsibilities:

• Design, implement, and operate D-Wave's internal AI tools platform.
• Streamline AI-enabled development and release management processes through 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 initiatives, implementing appropriate security controls, access rules, and service configurations.
• Apply DevOps best practices to testing and monitoring to improve platform performance, durability, and reliability;
• Respond to operational incidents and development questions related to the internal AI platform and perform root-cause analysis.
• Continuously monitor and improve the performance, durability, and reliability of the AI platform.
• Promote AI best practices, including usage policies, guardrails, and data-handling standards, in compliance with company policies.
• Participate in AI office hours and lead group discussions.
• Lead AI platform architecture discussions involving model and design tradeoffs;
• Join the on-call rotation to help maintain high availability and reliability of D-Wave applications.
• Work with DevOps engineers and Product Development teams to integrate technologies such as Amazon Bedrock, AI agents, n8n, Artifactory, ArgoCD, and other supporting services.
• Design and operate AI-powered development, on-call, and agentic workflows.
• Partner with engineering teams to prioritize, implement, and continuously improve AI initiatives that increase developer productivity and reduce operational overhead.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience.
• 5+ years of experience designing, deploying, operating, and troubleshooting modern cloud-based or on-premises infrastructure, DevOps platforms, or SaaS/PaaS environments;
• Hands-on experience building and supporting production AI applications, including LLM applications, AI agents, workflow automation, or generative AI solutions.
• Strong understanding of the LLM application stack, including:
  • Prompt engineering
  • Retrieval-augmented generation (RAG)
  • Embeddings
  • Vector search
  • Reranking
  • Context management
  • Structured outputs
  • Tool use
  • Evaluation
  • AI security practices
• Experience with AWS generative AI technologies, including Amazon Bedrock and AgentCore.
• Experience with agentic orchestration frameworks and interoperability protocols such as MCP and ACP.
• Experience designing and operating CI/CD pipelines, infrastructure-as-code, artifact management, and containerized deployment environments.
• Experience with technologies such as Kubernetes, Terraform, ArgoCD, Artifactory, Jenkins, Git, or equivalent tools.
• Strong Linux administration skills, including troubleshooting, log analysis, system diagnostics, SSH, certificates, security fundamentals, and automation.
• Programming experience with Python, Go, Groovy, or similar languages;
• Experience integrating monitoring and observability solutions such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies.
• Experience integrating third-party services and REST-based APIs within Linux environments.
• Ability to work independently, solve ambiguous technical problems, collaborate across teams, and translate business workflows into scalable technical solutions.

Benefits and Compensation:

• Base salary range: $150,000 to $206,000 CAD per year.
• Base salary range: $150,000 to $206,000 USD per year.
• Total rewards include base compensation, company equity, bonuses, perks, and employee benefits.
• D-Wave emphasizes company ownership, competitive compensation, professional development, and career growth.
• Benefits and total rewards are reviewed with candidates during the interview process;
• Final compensation is determined based on the candidate's proficiencies within the position level.

Other Information:

• D-Wave is seeking an experienced AI Platform DevOps Engineer for its Product Development team.
• The position is remote and is available in the United States and Canada.
• No third-party candidates will be accepted.
• The role includes participation in an on-call rotation;
• D-Wave promotes an inclusive workplace and encourages diverse perspectives.
• D-Wave is an equal opportunity employer and complies with applicable employment laws.
• D-Wave develops quantum computing systems, software, and services, including annealing and gate-model quantum computing technologies.