Other Responsibilities Include
Deploy, configure, and operate large language models (LLMs), and integrate approved frontier AI models and services into enterprise environments
Optimize model inference and deployment configurations to improve response times, throughput, and GPU/memory utilization while maintaining output quality
Monitor, troubleshoot, and maintain model-serving environments, including model updates, API connectivity, and supporting infrastructure
Transition platform provisioning from manual/bare-metal installs toward a fully IaC-managed model
Install, configure, and operate bare-metal OpenShift (or equivalent enterprise Kubernetes distribution) clusters
Design and implement infrastructure-as-code provisioning using Terraform and Ansible for platform and VM orchestration
Support the objective feasibility assessment of OpenShift versus Spectro Cloud, documenting licensing tradeoffs, operability, and long-term sustainability considerations
Deploy and support core platform services including authoritative DNS (e.g., PowerDNS)
Implement and enforce STIGs and cybersecurity compliance requirements on platform infrastructure
Monitor platform health, performance, and capacity using observability tools; manage platform logging and alerting
Support OCONUS hardware bootstrap activities including physical hardware installation and configuration
Document platform architecture, configuration decisions, and operational procedures
Qualifications
Required Qualifications
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D, or minimum 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 and operating AI models, with a foundational understanding of inference and performance tuning
Hands-on experience deploying and administering OpenShift (or another enterprise Kubernetes distribution) on bare metal
Infrastructure-as-code proficiency, specifically Terraform and Ansible, for provisioning and configuration management
Working knowledge of virtualization/cloud orchestration platforms (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
Working understanding of agentic platform modeling/hosting/services
Preferred Qualifications
Excellent verbal and written communication skills
Excellent writing and grammatical skills
Excellent organizational skills and attention to detail
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
HashiCorp Certified: Terraform Associate
Experience with GitOps workflows (e.g., ArgoCD, Flux) for platform configuration management
Experience bootstrapping platforms in disconnected or OCONUS environments including physical hardware installation
Target Salary Range $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
