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Senior Infrastructure and DevOps Systems Engineer
Intel Corporation. Design, deploy, automate, and troubleshoot Linux-based systems across development, validation, and production environments .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, deploying, and automating Linux-based systems while ensuring observability, reliability, and security across development and production environments. Proficient in infrastructure automation and CI/CD solutions using tools like Ansible, Python, and Jenkins, with experience in managing large-scale AI and HPC clusters.
Highest-signal resume keywords
Linux System AdministrationInfrastructure Automation Using AnsibleCI/CD Solutions With JenkinsLarge-Scale AI/HPC Cluster ManagementSystems Observability And Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Linux AdministrationPython DevelopmentBash ScriptingAnsible AutomationJenkins CI/CDRPM Package ManagementKubernetes OrchestrationELK Stack ImplementationAI Framework ManagementContainerization With Docker
Soft Skills
Analytical Problem-SolvingEffective CommunicationCollaboration Across TeamsOwnership And AccountabilityContinuous Learning Mindset
Tools & Technologies
WarewulfHPCMGitOpenBMCXCATBright Cluster ManagerSlurmKVMVMwareGitHub Copilot
Industry Keywords
AIHPCDistributed ComputingInfrastructure ObservabilitySystem HardeningVulnerability RemediationSoftware PackagingMulti-Node ClustersVirtualizationOrchestration Technologies
Tech Stack
Tools & technologiesAnsibleDockerJenkinsKubernetesLinuxNode.jsOpenStackPythonVMware
About the role
Key responsibilities & impact- 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 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
Requirements
What you’ll need- 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 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
- 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 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 using GitHub Copilot, Cursor, or similar technologies
- Strong analytical, system-debugging, and problem-solving skills
- Ability to collaborate and communicate effectively across engineering disciplines and cross-functional teams
- Strong ownership, accountability, and continuous-learning mindset
Benefits
Comp & perks- Competitive pay
- Stock bonuses
- Health benefits
- Retirement benefits
- Vacation benefits
- Hybrid work model splitting time between on-site and off-site