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# HPC Cloud Engineer

- **Company:** Accenture
- **Location:** Hill Air Force Base, UT, United States
- **Experience:** Experienced
- **Salary:** $106,300.0 - $206,200.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Bash Shell, Cloud Engineering, CompTIA Security+, Nvidia CUDA, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, DevOps, Job Scheduling, Python (Programming Language), NIPRNet, Windows PowerShell, Ansible, Runbook, Software Configuration Management, Apache Spark, cuDNN, SC Clearance, AWS Data Analytics, Apache Kafka, Slurm, Terraform, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/F770DEE1E1034A548F271951DEA68855/job/

## About the Role

* 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
 * CompTIA Security+ or equivalent preferred

Bonus Points if you have:

 * 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)

Clearance:

Active Secret clearance required; Top Secret preferred

Work Environment & Culture

 * Comfortable in centralized vision, decentralized command structure

 * Strong Agile mindset

 * Takes ownership of assigned cluster operations

 * Fail-fast, fail-forward approach

 * Growth-oriented and eager to expand HPC/GPU expertise

## Description

Accenture Federal Services is seeking a Cloud Engineer / HPC to join our team and support our client at Hill AFB in Utah. This role focuses on high-performance compute (HPC) infrastructure for compute-intensive mission workloads. You 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.

What you'll do:

HPC Operations

 * Support daily operation of HPC clusters

 * Operate job schedulers (Slurm, PBS, etc.) and troubleshoot failures

 * Support AWS ParallelCluster and/or AWS Batch provisioning

GPU & Accelerated Computing

 * Support industry GPU software configuration & acceleration

 * Assist with CUDA/cuDNN setup and troubleshooting

 * Monitor CPU/GPU utilization across node pools

Data Platform & Infrastructure Support

 * 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)

Agile Delivery & Collaboration

 * Participate in sprints, standups, and retrospectives

 * Document configurations, runbooks, and troubleshooting procedures

 * Collaborate with Senior Cloud Engineer / HPC and data engineering teams