Senior AI Platform DevOps Engineer

D-Wave; United States; Remote; USD 150,000 - 206,000; Full time

Job summary

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

You will work with Bedrock, AI agents, n8n, ArgoCD, Artifactory, and other services to scale secure development workflows, support CI/CD, and implement robust monitoring and security controls across cloud and on-prem environments.

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 and 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, and AI security practices.
• Experience with AWS generative AI technologies, including Amazon Bedrock and AgentCore, as well as 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 using 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 using languages such as Python, Go, Groovy, or similar.
• Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies.
• Experience integrating third-party services and APIs, including REST-based integrations, within Linux-based environments.
• Ability to work independently, solve ambiguous technical problems, collaborate across teams, and translate business workflows into scalable technical solutions.

Responsibilities

• Design, implement, and operate our internal AI tools platform.
• Streamline internal AI build processes and release management via CI/CD pipelines.
• Build and operate deployment pipelines for models, prompts, and evaluations with versioning and rollback strategies.
• Participate in security reviews and implement required security controls and configurations.
• Apply DevOps best practices to testing and monitoring for performance and reliability.
• Respond to incidents and perform root-cause analysis for the internal AI platform.
• Continuously monitor and improve platform performance and reliability.
• Promote AI best practices across development teams in compliance with policy.
• Participate in AI office hours and lead group discussions.
• Lead AI platform architecture discussions on model and design tradeoffs.
• Join on-call rotation to ensure high availability of D-Wave applications.

Skills

DevOps

Cloud

CI/CD

Scripting

Monitoring

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Terraform

ArgoCD

Artifactory

Jenkins

Git

n8n

Bedrock

AgentCore

Job description

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

You will work with Bedrock, AI agents, n8n, ArgoCD, Artifactory, and other services to scale secure development workflows, support CI/CD, and implement robust monitoring and security controls across cloud and on-prem environments.