Role: Platform Engineer Duration: 1 month Location: St. Louis, MO Role Overview Highly skilled AI Infrastructure Engineer to design, build, and operate scalable GPU-enabled Kubernetes platforms for AI/ML workloads. Must have skills: Kubernetes, Linux, Terraform, GPUs and NVIDIA stack Required Qualifications 3 8+ years' experience Strong Kubernetes knowledge Experience with GPUs and NVIDIA stack Linux (Ubuntu) expertise Experience with Terraform Preferred Qualifications Longhorn or Ceph experie

Job SummaryWe are seeking a Principal AI Infrastructure Architect to design, build, and operate secure, scalable GPU-accelerated AI platforms. The ideal candidate will have deep expertise in Kubernetes, NVIDIA DGX infrastructure, InfiniBand networking, BlueField DPUs, and MLOps platforms. This is a hands-on architecture role responsible for building production-grade AI infrastructure that supports large-scale ML training and inference workloads. Key ResponsibilitiesKubernetes & AI Platform Archi

Job SummaryWe are seeking a highly experienced Senior AI Infrastructure Engineer to deploy, operate, secure, and optimize NVIDIA DGX-based AI infrastructure supporting large-scale AI/ML training and inference workloads. The ideal candidate will have strong hands-on expertise across NVIDIA DGX systems, Kubernetes, NVIDIA GPU Operator, InfiniBand, BlueField DPUs, NVLink/NVSwitch, and AI infrastructure automation. This is a deeply technical role requiring experience managing high-performance GPU cl

Role: Site Reliability Engineer Location: Remote. Candidates can live anywhere in the US but must be able to work 8am 5pm/9am 6pm EST Pay Rate $ 70/hr on W2 Duration:6 to 12 Months Interview Process: Teams interview with manager, then teams interview with additional team members Duration: 6 months, possible extension based on business need Top requirements: Bachelors is preferred but not required. Minimum of 5 years professional experience in site reliability engineering, platform engineering,