ironquill.tech/board

$ cat jobs/linux-engineer-accenture-federal-services-698dc91b2307.json

Linux Engineer

Accenture Federal Services·Worldwide·Tampa, FL·mid
dockerlinux
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At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! At Accenture Federal Services, we support high tempo, mission critical operations that strengthen national security and modernize federal systems. Our Tampa engineering team works across advanced HPC and GPU compute environments, hybrid infrastructures, secure Linux platforms, and emerging AI/ML workflows. As a Linux Engineer, you will operate directly within this mission focused ecosystem, architecting and maintaining high-performance Linux systems, containerized workloads, virtualization stacks, HPC/GPU platforms, and secure storage solutions. The role is fully onsite and supports classified systems, ensuring reliability, compliance, and the delivery of advanced compute capabilities essential to federal missions. Responsibilities • Deploy, configure, secure, and maintain RHEL, Rocky Linux, and Ubuntu systems. • Administer ESXi and other hypervisors; troubleshoot full stack issues from bare metal through OS and application layers. • Maintain system hardening, patching, and audit readiness aligned with operational requirements. • Build and orchestrate workloads using Docker and Kubernetes. • Support containerized AI/ML pipelines and HPC aligned job scheduling workflows. • Support HPC/AI clus

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