HPC Infrastructure & Cluster Engineer

Abile Group, Inc.Newington, VA
Onsite

About The Position

Abile Group has an exciting and challenging opportunity for a HPC Infrastructure & Cluster Engineer on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer. All the personnel on the team will work together to support innovative design, engineering, procurement, implementation, operations, sustainment and disposal of user facing and data center information technology (IT) services on multiple networks and security domains, at multiple locations worldwide, to support the IC mission. The right candidate will possess the below skills and qualifications and be ready to handle all responsibilities independently and professionally.

Requirements

  • Clearance Required: TS/SCI with ability to obtain a CI Poly.
  • Bachelor's Degree in a related discipline, or the equivalent combination of education, professional training, or work/military experience.
  • 5+ years of experience in Linux systems administration and infrastructure management with a specific focus on high-performance computing environments.
  • Meet DoD 8570 IAT Level II requirements including one of the following: Security+ CE, CND, SSCP, GSEC, GICSP, CySA+, or CCNA.
  • Expertise in managing bare-metal servers, enterprise storage arrays, and advanced network configurations (Experience with InfiniBand).
  • Strong proficiency with workload managers, job schedulers, and AI orchestration tools (e.g., Run:AI, SLURM).
  • Hands-on experience with enterprise container orchestration platforms, specifically OpenShift or Kubernetes.
  • Experience writing automation and configuration scripts (e.g., Bash, Python) to streamline cluster maintenance.
  • Proven ability to diagnose and resolve complex hardware, network, and OS-level issues.

Nice To Haves

  • Familiarity with parallel file systems and high-throughput storage architectures.
  • Prior experience engineering or managing high-speed GPU-to-GPU communication topologies.

Responsibilities

  • Manages the day-to-day operations of the customer compute cluster, including Linux operating system administration, hardware monitoring, patching, and system upgrades.
  • Configures, maintains, and optimizes workload management and orchestration platforms, utilizing the Run:AI job scheduler to ensure efficient distribution of intensive AI/ML workloads across the cluster.
  • Tunes cluster performance at the hardware, operating system, and network levels to maximize compute efficiency and data throughput for customer workloads.
  • Administers storage solutions and high-speed networking fabrics. Support the transition to and ongoing management of an InfiniBand GPU-to-GPU network infrastructure to minimize latency for distributed operations.
  • Partners with technology integration teams to provision specific environments, dependencies, and container platforms, specifically leveraging Red Hat OpenShift, required for seamless customer model deployment.
  • Ensures all infrastructure components remain compliant with federal security standards, implementing strict access controls and maintaining system accreditations.
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