Job description

Job Details: Job Description: About the Role Our customer-facing engineering team is seeking a senior, hands-on Infrastructure and DevOps 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 workloads. In 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 DevOps 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 OpenStack. 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 development, infrastructure automation, debugging, or operational tasks using GitHub Copilot, Cursor, or similar technologies. Behavioral Traits The successful candidate should demonstrate the following: Strong analytical, system-debugging, and problem-solving skills. Passion for automation, operational excellence, and continuous improvement. Ability to collaborate and communicate effectively across engineering disciplines and cross-functional teams. Strong ownership, accountability, and a continuous-learning mindset toward emerging technologies. We invite you to bring your expertise, creativity, and passion to Intel to build innovative infrastructure solutions that make a tangible impact. Take the next step in your career and join us in shaping the future of technology. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Massachusetts, Beaver Brook Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . Annual Salary Range for jobs which could be performed in the US: $100,550.00-194,270.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Requirements

Must-haves

Job Description: About the Role
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 DevOps 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.
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.

Nice-to-haves

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 OpenStack.
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 development, infrastructure automation, debugging, or operational tasks using GitHub Copilot, Cursor, or similar technologies.
Behavioral Traits
The successful candidate should demonstrate the following:
Strong analytical, system-debugging, and problem-solving skills.
Passion for automation, operational excellence, and continuous improvement.
Ability to collaborate and communicate effectively across engineering disciplines and cross-functional teams.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpythonkubernetesdocker

Platform: workday
Effort: long

Benefits

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