Asks for

The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”
The ad says“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”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Experience integrating third-party services and APIs, including REST-based integrations, within Linux-based environments”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“Experience integrating monitoring and observability solutions using tools such as Grafana, OpenSearch, Prometheus, InfluxDB, Zabbix, or equivalent technologies”

D-Wave Quantum Inc. (NASDAQ: QBTS) is a leader in the development and delivery of quantum computing systems, software, and services. It is the world’s first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave’s mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap™ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.

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

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

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.

During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.

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 Fine Print:

No 3rd party candidates will be accepted

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.

The base pay range for this role is:

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

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