{"id":606783,"url":"https://alion.io/job/ddn-devops-engineer","title":"DevOps Engineer","company":{"id":672909,"name":"DDN","domain":"ddn.com","url":"https://alion.io/company/ddn","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":97,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"HPC","optional":true}],"status":"live","first_seen_at":"2026-08-04T08:47:17Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-17T10:45:46Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"As a Staff Engineer - Infrastructure Engineering & DevOps, you will play a key technical leadership role in designing, building, and evolving our hybrid infrastructure and developer platforms. You’ll work hands-on across cloud automation, high-performance bare-metal systems, and DevOps tooling to deliver reliable, scalable infrastructure that accelerates software delivery.\nThis role is highly cross-functional. You will collaborate closely with Development, DevOps, and QA teams to solve infrastructure and release challenges, support delivery cycles, and continuously improve platform capabilities. You’ll balance strong technical execution with architectural influence, contributing to system design while remaining directly involved in implementation and operational support.\nOccasional in-person meetings or team events may be required.\nKey Responsibilities\nInfrastructure & Platform Engineering\n\nContribute to the design and evolution of hybrid infrastructure systems (cloud + bare metal)\n\nBuild and enhance internal tools and automation to improve scalability, reliability, and cost\n\nefficiency\n\nImplement and maintain infrastructure-as-code practices, platform APIs, and shared tooling\n\nSupport system designs that enable multi-tenant workloads, observability, and auditability\n\nEngineering Collaboration & Delivery Support\n\nPartner with Dev, DevOps, and QA teams to resolve infrastructure or deployment blockers\n\nduring release cycles\n\nProvide technical guidance and mentorship to DevOps and platform engineers\n\nParticipate in architectural reviews, release readiness checkpoints, and root-cause analyses\n\nSoftware Build & Release Pipelines\n\nDesign, implement, and operate build and release pipelines for hybrid environments,\n\nincluding GPU-based bare-metal systems\n\nImprove test orchestration, staging workflows, and artifact delivery pipelines\n\nIntegrate automation with infrastructure-level controls for access, audit, and security\n\ncompliance\n\nRequired Qualifications\n10+ years of experience in infrastructure, platform, or DevOps engineering roles\n\nStrong programming skills (e.g., Python, Go)\n\nHands-on experience with hybrid infrastructure (cloud + bare metal)\n\nDeep knowledge of infrastructure-as-code tools (Terraform, Helm, Kubernetes)\n\nProven cross-functional collaboration skillsPreferred Qualifications\n\nExperience with GPU-accelerated compute or HPC-style infrastructure\n\nFamiliarity with platform engineering or developer experience optimization\n\nExperience with high-velocity release cycles and incident response\n\nThis 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