{"id":39941,"url":"https://alion.io/job/argonne-devops-engineer","title":"DevOps Engineer","company":{"id":4520,"name":"Argonne National Laboratory","domain":"argonne.gov","url":"https://alion.io/company/argonne","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lemont, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":69750,"max":108810,"currency":"USD","period":"year","gross":null,"usd_annual":108810},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"API Gateway","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"External Secrets","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"Harbor","optional":false},{"name":"Helm","optional":false},{"name":"HPC","optional":false},{"name":"IAM","optional":false},{"name":"Jsonnet","optional":false},{"name":"Kong","optional":false},{"name":"Kubernetes","optional":false},{"name":"Nagios","optional":false},{"name":"OpenTofu","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-17T05:02:01Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.\nThe ALCF seeks a DevOps engineer to support infrastructure within ALCF and in support of the Department of Energy's American Science Cloud (AmSC) project. AmSC is a secure, federated, and science-optimized cloud environment that integrates the DOE’s world-leading computing and experimental facilities, data resources, and high-performance networks.\nThe AmSC platform enables DOE scientists to create, access, and integrate AI-ready datasets, run scalable AI model training and inference on leadership-class systems, perform distributed simulations, control instruments, and move data efficiently across sites. \nAs a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with significant interaction with the Infrastructure Services group of AmSC to support all activities on our multi-cloud central hub infrastructure, for development, staging, pre-production, and production environments. Other L2 science service teams are deploying services on top of the infrastructure that the Infrastructure team manages - e.g. data catalogs and repositories, at-scale HPC compute services, user interfaces and APIs, and intelligent operations (AI/MLOps). Your primary job responsibilities will be to support the science teams by building foundational infrastructure and developing CI/CD pipelines to deploy services on that infrastructure.\nMajor Duties/Responsibilities:\nThe service stack is primarily Kubernetes-based. Perform cluster administration and application deployment assistance to users.\nBuild and maintain pipelines for deploying cloud infrastructure and science services.\nManage and use image registries such as Harbor.\nWriting and updating automation for resource provisioning and CI/CD pipelines - e.g. Terraform, GitOps, Python.\nImplement security controls as defined by Cybersecurity team (DevSecOps).\nConfigure basic instrumentation for infrastructure and core services, to feed into monitoring and alerting systems.\nProvide primary operational support and engineering for production applications.\nDefine and implement KPIs, processes and drive continuous improvement.\nDiagnose platform operational problems quickly and effectively.\nDeploy, manage, and operate managed Kubernetes clusters (Amazon EKS, Azure AKS, Google GKE, or equivalent), including node group lifecycle management, cluster upgrades, cloud-native networking integrations (load balancer controllers, CNI plugins), and multi-environment promotion across dev, staging, and production.\nCoordinate with vendors to resolve hardware and software problems.\nHybrid Remote Work - Occasionally Onsite: which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working more than 60% of their time remotely. Non-exempt employees should not be permitted to split their time between on-site and remote work on a given workday unless they have advance supervisor approval.\nPosition Requirements\nPT2: Bachelor’s Degree in computer science or closely related field and a minimum of 2+ years of experience as a DevOps engineer and/or Cloud Engineer. \nUS citizenship: To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract\nPrevious experience as a team lead - able to perform task management for DevOps or Cloud Engineering teams.\nExcellent interpersonal/communication skills, and the ability to work as part of a team.\nWorking knowledge of cloud application architecture patterns and a thorough grasp of common products and managed services for at least one Cloud Service Provider (e.g. AWS).\nWorking knowledge of Kubernetes cluster administration and concepts (CR/CRDs) and application deployment strategies (GitOps, Helm).\nWorking knowledge of Unix system fundamentals and common network protocols.\nSolid understanding of cloud computing networking concepts.\nAbility to proactively identify performance issues, problems, and areas for improvement.\nAbility to identify requirements and to define, plan, and implement requisite solutions.\nAbility to plan, organize, prioritize tasks, and complete assigned projects with minimal supervision.\nExperience with continuous integration and continuous deployment software methodologies and strategies.\nAn understanding of code review and familiarity with tools like GitHub and GitLab.\nExperience using tools such as Nagios, Grafana and Prometheus to monitor systems, metrics, and create dashboards.\nExperience with OpenTofu or Terraform in multi-account AWS environments, including AWS Organizations, SCPs, and IRSA (IAM Roles for Service Accounts).\nHands-on experience with ArgoCD including App of Apps patterns and ApplicationSets for multi-environment GitOps deployments.\nFamiliarity with Tanka, Jsonnet, or equivalent configuration-as-code templating approaches beyond Helm.\nExperience with Kong Gateway or similar API gateway platforms in Kubernetes environments.\nFamiliarity with secrets management patterns including AWS Secrets Manager, External Secrets Operator, or comparable Kubernetes-native solutions.\nAbility to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.\nExposure to high-speed research networks such as ESnet or Internet2 is a plus.\nJob Family\nProfessional Technical (PT)Job Profile\nIT Multi-Functional 2Worker Type\nRegularTime Type\nFull timeThe expected hiring range for this position is $69,750.00 - $108,810.00.Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.\nClick here to view Argonne employee benefits!\nAs an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.\nArgonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.\nAll Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. 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