{"id":4319905,"url":"https://alion.io/job/raydar-senior-cloud-infrastructure-engineer","title":"Senior Cloud Infrastructure Engineer","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-14T05:58:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":230000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"FluxCD","optional":false},{"name":"Kubernetes","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-14T19:11:51Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T19:11:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the company\nOur client is a software company.\nThe role\nRaydar is recruiting for this role on behalf of our client. Design, build and run production infrastructure for AI-driven software systems across several public cloud providers. The role owns environment setup, container orchestration, infrastructure-as-code and deployment automation, with a focus on consistent operation, security and developer speed.\nWhat you'll do\n- Build, maintain and harden production infrastructure for AI-driven software systems.\n- Own the cloud environment for one major provider while supporting the others.\n- Make infrastructure portable so the same setup runs on any major cloud.\n- Improve monitoring, security and reliability across systems.\n- Deploy and operate applications with container orchestration and infrastructure-as-code.\n- Coordinate with application and platform teams so work moves forward without holdups.\n- Design CI/CD pipelines that cover build, test and deployment for infrastructure and application code.\n- Build shared tooling that handles routine tasks such as provisioning, key renewal, library upgrades, policy audits and deployment coordination.\n- Hunt down repetitive operational chores across engineering and remove them with code and self-serve utilities.\n- Promote an automate-it-once mindset and treat automation as production code.\nRequirements\nWhat we're looking for\n- Track record of structuring continuous delivery workflows and declarative, repository-driven deployment approaches.\n- Experience in cloud infrastructure or AI infrastructure engineering.\n- Background developing internal tooling that engineers can use without manual help.\n- A university degree.\n- Hands-on work with Terraform and Kubernetes.\n- Experience with high-performance computing and AI infrastructure.\n- Hands-on experience with a major cloud platform.\n- Experience with Argo-style deployment tools such as ArgoCD or FluxCD and container orchestration workflows.\n- Based in US time zones, US Pacific Time.\nBenefits\nCompensation and benefits\n- Base salary: USD 230K to 275K per year\nLocation and work model\n- Remote (US)\n- Fully remote within US time zones, with a preference for US Pacific Time\n- 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