Senior AI DevOps Developer [584]

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

About the role

D-Wave is seeking an experienced AI Platform DevOps Engineer to join our Product Development team. In this role, you will design, build, deploy, andoperateAI-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, andoperateour 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 andoperatedeployment 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

• Continuouslymonitorand 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-compliancewith 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

• 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 andAgentCore, 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

A D-Waver’s DNA

• We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
• We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
• We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
• As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:

We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.

It is D-Wave policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.

Inclusion:

We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.

The base pay range for this role is:

$150,000 - $206,000 CAD per year

$150,000 - $206,000 USD per year