Senior AI DevOps Developer
About the job
- A bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience.
- At least five 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 large language model applications, AI agents, workflow automation, or generative AI solutions.
- Strong understanding of the large language model application stack, including prompt engineering, retrieval-augmented generation, 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 continuous integration and continuous deployment 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.
- Design, implement, and operate the internal AI tools platform.
- Work with development teams to streamline internal AI build processes and release management processes 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 the internal AI platform.
- 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 internal AI platform.
- Promote AI best practices, including 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.
About the company
D-Wave Systems provides quantum computing hardware, software, and cloud services for real-world business use. It develops practical quantum applications for manufacturing, logistics, biotech, and pharmaceuticals to solve optimization tasks like scheduling, resource allocation, and routing, as well as drug discovery and medical imaging. Access is via its Advantage2 quantum annealing processor (1,200 qubits, 10,000 couplers) delivered through cloud and hybrid workflows that blend quantum and classical computing. The company differentiates itself with an industry-focused portfolio, a mix of hardware, software, consulting, and a developer community, aiming to make quantum computing usable for businesses and to expand its hardware capabilities.
Company Size
201-500
Company Stage
IPO
Headquarters
Boca Raton, Florida
Founded
1999
Get referred to D-Wave Quantum
See people who can refer or advise you
Simplify's Take
What believers are saying
- First-half 2026 bookings reached $35.5 million, up 1,120%, with RPOs hitting $40.7 million.
- D-Wave added customers including Nasdaq Verafin, Oki Electric, Shionogi, Unisys, and AT&T.
- NSF funded D-Wave's gate-model work, while Nature published its fault-tolerant entangling-gate breakthrough.
What critics are saying
- August 6, 2026 revenue was $3.1 million, while first-half revenue fell 67%.
- Pomerantz and Kessler Topaz opened securities investigations after John Markovich resigned August 25, 2026.
- Management targets gate-model commercialization around 2032, leaving D-Wave vulnerable to funding and execution failure.
What makes D-Wave Quantum unique
- D-Wave remains the only dual-platform quantum vendor, combining annealing and gate-model systems.
- Advantage2 reached 4,400-plus qubits, with FAU purchasing a $20 million system in January 2026.
- AT&T expanded D-Wave use in July 2026 for network optimization and agentic AI integration.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Remote Work Options
Flexible Work Hours
Relocation Assistance
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%D-Wave Quantum (QBTS) reported second-quarter 2026 revenue of $3.1 million, essentially flat on a year earlier. The stock carries a $5.4 billion valuation, or 434.9 times sales. Systems revenue was only about $300,000, as each annealing system, priced at $20 million to $40 million, takes time to site, build, install, and calibrate. Cloud subscriptions rose 50% and professional services climbed more than 18%. Adjusted EBITDA loss widened 85%, and gross margin fell to 55.4% from 63.8%. Backlog reached $40.7 million on June 30, up 668%, and management expects about 57% of it to become revenue within twelve months. It plans to ship two systems in 2026, probably in the fourth quarter. D-Wave held $546.2 million in cash and marketable securities at the end of June.
Law firm Kessler Topaz Meltzer & Check (KTMC) is investigating D-Wave Quantum (NASDAQ: QBTS) for potential violations of federal securities laws. It is seeking investors who bought or acquired D-Wave securities and suffered significant losses. On August 6, 2026, D-Wave reported second-quarter revenue of $3.08 million, below analyst expectations of $4.03 million to $4.08 million. Its stock fell more than 9%. On August 25, 2026, the company announced its chief financial officer would resign, effective September 2, 2026. The stock fell more than 9% again on August 26, 2026. KTMC says affected investors may have legal rights, and that speaking with an attorney carries no cost or obligation.
Alphabet is positioned as the best quantum computing investment for long-term investors, according to a new analysis, despite IonQ and D-Wave Quantum gaining attention in the space. While IonQ and D-Wave show impressive growth — IonQ's Q2 revenue jumped 287% to $80 million — both remain unprofitable and require heavy spending on research and development. IonQ posted a $120 million adjusted EBITDA loss in the quarter. Alphabet's Google Quantum AI recently achieved a breakthrough with its Willow chip, which completed a computation in under five minutes that would take current supercomputers 10 septillion years. The chip also demonstrated declining error rates as qubits increase, a critical step toward scalable quantum computing. Unlike pure-play quantum companies, Alphabet doesn't depend on quantum computing for its valuation. The company trades at a forward price-to-earnings ratio around 29 and could integrate quantum capabilities into its existing cloud and AI infrastructure.
D-Wave Quantum and QuantumScape represent high-risk bets on emerging technologies, with D-Wave focused on quantum computing and QuantumScape developing solid-state batteries for electric vehicles. D-Wave generates revenue from clients including Mastercard, Pfizer, and Siemens Healthineers through quantum computing systems and cloud services. The company reported revenue of $24.6 million in FY 2025, up 178.5% year-over-year, though it posted a net loss of $355.1 million. QuantumScape remains pre-revenue as it develops lithium-metal battery technology. The firm is working with Volkswagen and recently signed a multi-year agreement with Honda for battery evaluation. It reported a net loss of $435.1 million in FY 2025. Both companies face significant commercialisation challenges despite partnerships with major industry players.
D-Wave Quantum (QBTS) trades near $17.50, down 61% from its yearly high, despite the S&P 500 returning 18% over the same period. The quantum computing company reported second-quarter 2026 revenue of $3.1 million, flat year-over-year, whilst its adjusted EBITDA loss widened 85% to $37.1 million due to accelerated product development spending. The company's market value stands at approximately $6.5 billion, with cash and marketable securities of $546.2 million at end-June 2026. Recent wins include an expanded AT&T partnership and a $20 million computer sale to Florida Atlantic University. Historically, QBTS has fallen an average of 51% during market shocks whilst the S&P 500 declined 13%, with its worst drawdown reaching 73%. Management doesn't expect significant revenue from gate-model systems until around 2032.