Senior AI Platform Engineer
Peraton · Fort Meade, MD, US
About this role
## Senior AI Platform Engineer ### Responsibilities - Stand up and operate a **bare-metal container platform** - Support a **feasibility assessment** of platform technologies - Drive the transition toward **Infrastructure-as-Code (IaC)** managed provisioning using **Terraform** and **Ansible** - Work in a **bare-metal-first** environment while reducing reliance on manual installs over time - Support **core platform services** and **OCONUS bootstrap** activities **Additional responsibilities include:** - Deploy, configure, and operate **large language models (LLMs)**; integrate approved frontier AI models/services into enterprise environments - Optimize model inference/deployment configurations to improve **response time**, **throughput**, and **GPU/memory utilization** while maintaining output quality - Monitor, troubleshoot, and maintain model-serving environments (model updates, API connectivity, supporting infrastructure) - Transition platform provisioning from manual/bare-metal installs to a **fully IaC-managed** model - Install, configure, and operate **bare-metal OpenShift** (or equivalent enterprise Kubernetes distribution) clusters - Design and implement IaC provisioning using **Terraform** and **Ansible** for platform and VM orchestration - Support feasibility assessment of **OpenShift vs. Spectro Cloud**, documenting licensing tradeoffs, operability, and long-term sustainability - Deploy and support core platform services including **authoritative DNS** (e.g., PowerDNS) - Implement and enforce **STIGs** and cybersecurity compliance requirements - Monitor platform health/performance/capacity using observability tools; manage logging and alerting - Support **OCONUS hardware bootstrap** (physical hardware installation and configuration) - Document platform architecture, configuration decisions, and operational procedures ### Qualifications **Required Qualifications** - Minimum experience based on education: - **12+ years** with BS/BA - **10+ years** with MS/MA - **7+ years** with Ph.D, or **16+ years** with no degree - Experience with platform/systems/integration engineering - Hands-on Kubernetes-based container platform experience - **US Citizenship** - **Active DoD Secret clearance** - **DoD 8570/8140 compliant** certification - Practical experience deploying/operating AI models; foundational understanding of inference and performance tuning - Hands-on experience deploying/administering **OpenShift** (or another enterprise Kubernetes distribution) on bare metal - IaC proficiency: **Terraform** and **Ansible** - Working knowledge of virtualization/cloud orchestration platforms (e.g., **Spectro Cloud**, **VMware**, or equivalent) - Understanding of container platform architecture: **networking (CNI)**, **storage (CSI)**, **cluster security**, and lifecycle management - Ability to document platform architecture, licensing tradeoffs, and operational considerations - Strong Linux administration skills (**RHEL**) - Must have regular/recurring physical access to a **DISA SIPR-accredited facility** **Preferred Qualifications** - Excellent verbal/written communication and strong writing/grammar - Strong organizational skills and attention to detail - **CKA** or **CKAD** - **HashiCorp Certified: Terraform Associate** - Experience with **GitOps** workflows (e.g., ArgoCD, Flux) - Experience bootstrapping platforms in **disconnected/OCONUS** environments, including physical hardware installation ### Location / Work Arrangement -
Listing freshness
CronJobs last confirmed this listing 2h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.