AI Operations Engineer

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The AI Operations Engineer exists to unlock faster delivery of new AI functionality by owning the reliability, maintenance, and evolution of production AI-enabled systems. The AI Operations team sits at the heart of Sonatype’s strategy, enabling AI-powered insights that support Go-To-Market and internal decision-making. We operate fast, experiment often, and focus on making sure what we build continues to deliver value long after it reaches production. This is a mid-level Individual Contributor role with end-to-end ownership of live systems, operating at the intersection of AI, production operations, and Go-To-Market enablement. As AI Ops Engineer, you’ll own the running of AI-enabled systems so our Build teams can focus on what they do best: creating new AI functionality. You’ll ensure our production tools are reliable, secure, and continuously improving — and you’ll have real influence over how those systems evolve. In summary, this role is ideal for someone who enjoys operating systems end-to-end, improving what already exists, and working close to the business impact of AI.