HPC Cloud Engineer

Accenture Federal Services • Hill Air Force Base, UT

6d • $106,300 - $206,200 • Onsite

About The Position

Accenture Federal Services is seeking a Cloud Engineer / HPC to join their team and support their client at Hill AFB in Utah. This role focuses on high-performance compute (HPC) infrastructure for compute-intensive mission workloads. The engineer will work with a Senior Cloud Engineer / HPC on cluster operations, job scheduling, and GPU-accelerated workloads, gradually taking on more design responsibility over time. The ideal candidate has hands-on cloud engineering experience, exposure to HPC job scheduling or GPU-accelerated computing, and thrives in a fast-paced, mission-focused environment.

Requirements

• 2 years cloud or infrastructure engineering
• Exposure to HPC schedulers or GPU-accelerated computing
• Understanding of DevOps (e.g.: CI/CD, IaC, GitOps)
• Experience with job schedulers (e.g.: Slurm, PBS, etc.)
• Proficiency in Python, Bash, or PowerShell
• Active Secret clearance required; Top Secret preferred

Nice To Haves

• CompTIA Security+ or equivalent preferred
• Familiarity with Kafka, Airflow, Spark
• Familiarity with industry GPU hardware and/or CUDA/cuDNN
• Working knowledge of AWS ParallelCluster/AWS Batch or ability to learn quickly
• Experience with AWS data services (EMR, Redshift, Glue)
• AWS certifications a plus
• Bachelor’s in CS, Engineering or related field
• Experience in classified environments (NIPR, SIPR, JWICS)

Responsibilities

• Support daily operation of HPC clusters
• Operate job schedulers (Slurm, PBS, etc.) and troubleshoot failures
• Support AWS ParallelCluster and/or AWS Batch provisioning
• Support industry GPU software configuration & acceleration
• Assist with CUDA/cuDNN setup and troubleshooting
• Monitor CPU/GPU utilization across node pools
• Support integration of HPC compute with data pipelines (Kafka, Airflow, Spark)
• Assist with AWS data services (EMR, Redshift, Glue)
• Support IaC for cluster provisioning (Terraform, Ansible)
• Participate in sprints, standups, and retrospectives
• Document configurations, runbooks, and troubleshooting procedures
• Collaborate with Senior Cloud Engineer / HPC and data engineering teams

Benefits

• Hands-on experience
• Certifications
• Industry training
• Wide variety of benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level