AI Cloud Engineer

Responsibilities and OpportunitiesDesign and build a Kubernetes-native AI cloud system, specifically tailored for deploying and managing massive-scale, performance AI servicesImplement core cloud features – dynamic workload scheduling, logging/monitoring/metering, authentication/authorization, high availability, QoS, and failover – for our internal platform or customer-facing solutionsIdentify and resolve performance bottlenecks and operational issues that affect cluster stability and availabilityWork closely with customers and internal teams to deliver and maintain cloud-native systems and help shape future product enhancements and capabilitiesKey QualificationsBachelor’s or higher degree in Computer Science, Electrical Engineering, or a related technical fieldProven, hands-on experience designing and operating large-scale Kubernetes clusters in a production environmentStrong proficiency in production-quality systems code using Python, Go, or C++Experience in full-stack developmentIdeal QualificationsExceptional problem-solving skills, with a proactive and analytical approach to technical challengesCertified Kubernetes Administrator (CKA) certification3-5 years of direct experience building commercial services and infrastructure, including creating Kubernetes operators or custom controllersFamiliarity with AI/ML specific orchestration tools built atop Kubernetes (e.g., Kubeflow, Ray, Argo)Rebellions is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and value diversity within our company. We do not discriminate based on personal identity. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: people@rebellions.ai.