{"id":3584708,"url":"https://alion.io/job/tech-mahindra-kubernetes-hpc-infrastructure-engineer","title":"Kubernetes / HPC Infrastructure Engineer","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":209000,"period":"year","method":"role_country_seniority_unknown","sample_n":4424},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CoreWeave","optional":false},{"name":"GCP","optional":false},{"name":"Google GKE","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-01T08:35:16Z","employer_posted_date":"2026-11-01","last_verified_at":"2026-11-04T08:14:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description\n\nSkill Set :\nTerraform\n\nTotal Experience :\n9.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n15/10/2026\n\nJob Expiry Date :\n28/11/2026\n\nDomain :\nIT\n\nLocation :\nSAN JOSE [United States]\n\nJob Reference No :\n4113061\n\nJob Summary\nTitle: Kubernetes / HPC Infrastructure Engineer\nLocation - Remote,USA\nExp- 10+ yrs\nOur customer operates large-scale GPU and HPC clusters across AWS, CoreWeave, GCP, and OCI, supporting AI/ML workloads and scaling rapidly.\nKey Skills (Must Have):\nStrong Kubernetes experience (EKS, GKE, CKS)\nHands-on management of large production clusters\nTerraform (Infrastructure as Code)\nAWS: EC2, S3, EFS, FSx for Lustre\nPython automation/scripting\nHPC, GPU, or AI/ML infrastructure experience preferred\nResponsibilities:\nManage Kubernetes cluster lifecycle, upgrades, networking, and node pools\nProvision multi-cloud HPC infrastructure through CI/CD\nSupport GPU scheduling for training and inference workloads\nBuild monitoring, alerting, and reliability standards (SLIs/SLOs)\nHandle incident response and collaborate with Networking, Storage, Security, and AI/ML teams\nKubernetes is the primary requirement. Candidates must have proven experience operating large-scale production environments, not just development or small clusters.\nThe pay range for this role is $150,000 - $220,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. 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