Kubernetes Platform Engineer developing scalable AI platform solutions for VMware Cloud Foundation. Engaging with cross-functional teams and ensuring quality of the Private AI feature set.
Responsibilities
Collaborate with cross-functional teams to design and deliver expanded capabilities of Kubernetes-based platform services for AI
Own the AI platform’s end user / in-product CLI across all components, help guide other teams in how to deliver CLI based experience for the platform
Decompose vague problems into detailed requirements, and develop solutions that meet the needs of our customers
Develop and maintain automated tests to ensure the quality and reliability of the Private AI feature set
Participate in code reviews and ensure that the code is aligned with VMware's coding standards and best practices
Troubleshoot and resolve complex issues related to Private AI services and how those services interface with other components of the stack such as storage, networking, etc.
Requirements
5+ years experience in scalable distributed systems in Go or C++
5+ years of hands on experience with Container technologies (Docker and Kubernetes)
Hands on experience deploying and maintaining Kubernetes Operators is a big plus
Proven knowledge of systems design
Strong analytical and diagnostic skills with ability to work independently
Excellent communication and collaboration skills, with the ability to work with cross-functional teams
Experience with agile development methodologies and version control systems, such as Git
BS in Computer Science or related technical fields and 8+ years of related experience in the software industry or MS in Computer Science or related technical fields and 6+ years of related experience in the software industry.
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