Senior Infrastructure and DevOps Systems Engineer

Job Details:

Job Description:

About the Role Our customer-facing engineering team is seeking a senior, hands-on Infrastructure and Dev Ops Systems Engineer to design, deploy, automate, integrate, secure, and troubleshoot large-scale Linux, AI, and High-Performance Computing (HPC) environments. The successful candidate will contribute to the design, deployment, and operation of next-generation compute platforms supporting product development, validation, and production  this role, you will work across operating systems, firmware, cluster management, software distribution, infrastructure automation, containerized environments, and AI-assisted development workflows.

You will help build scalable and reliable infrastructure solutions that enable engineering teams to rapidly develop, validate, and deploy complex software and hardware platforms.

The ideal candidate combines strong Linux administration expertise with software development, automation, and distributed systems experience. Experience operating large-scale HPC or AI environments, managing software distribution through RPM repositories and Lmod modules, and leveraging modern AI development tools is highly desirable.

Key Responsibilities:

Design, deploy, automate, and troubleshoot Linux-based systems across development, validation, and production environments.

Develop infrastructure automation and CI/CD solutions using Ansible, Python, Bash, Jenkins, Git, and related Dev Ops technologies.

Deploy, configure, and support large-scale AI/HPC clusters using Warewulf, HPCM, Kubernetes, and related virtualization and orchestration technologies.

Manage software packaging and deployment using RPM repositories, dependency management, Lmod, and automated distribution across compute environments.

Implement infrastructure observability, reliability, and security solutions, including ELK, vulnerability remediation, patching, and system hardening.

Lead complex system integration and root-cause debugging across hardware, firmware, BMC/openBMC, Linux, networking, middleware, and applications.

Drive end-to-end platform integration and validation, partnering across hardware, firmware, software, validation, security, and infrastructure teams.

Leverage AI-assisted development and agentic workflows to accelerate infrastructure development, automation, troubleshooting, and operational efficiency.

Qualifications:

The Minimum qualifications are required to be initially considered for this position.  Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or a related technical field.
3+ years of experience administering, integrating, and troubleshooting Linux systems in enterprise or distributed computing environments.
3+ years of experience developing software, automation, or infrastructure solutions using Python and/or Bash.

Experience developing infrastructure automation using configuration management technologies such as Ansible.

Experience with RPM-based Linux distributions, package management, and software repositories.

Experience with CI/CD and software development workflows using Jenkins, Git, or equivalent technologies.

Preferred Qualifications Experience supporting HPC, AI, GPU, or large-scale distributed compute and validation environments.

Experience provisioning and managing multi-node Linux clusters using Warewulf, HPCM, xCAT, Bright Cluster Manager, Slurm, or equivalent technologies.

Experience building and deploying custom Linux OS images, RPM packages, and enterprise software repositories using Satellite, Pulp, Nexus, Artifactory, or similar solutions.

Experience managing compiler, library, middleware, AI framework, and application environments using Lmod, Environment Modules, or equivalent software environment management technologies.

Experience with containerization, orchestration, and virtualization, including Kubernetes, Docker, KVM, VMware, or Open Stack.

Experience with systems observability, platform security, and firmware integration, including ELK, security patching, vulnerability remediation, OS hardening, and openBMC.Experience using AI-assisted development and agentic workflows to accelerate software…