Senior AI DevOps Developer [584]

D-Wave

1d•$150,000 - $206,000

About The Position

D-Wave is seeking an experienced AI Platform DevOps Engineer 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.

Requirements

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
Work with our development teams to streamline our internal AI build processes and release management 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