{"id":4084766,"url":"https://alion.io/job/true-talent-solutions-partners-staff-infrastructure-software-engineer","title":"Staff Infrastructure Software Engineer","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ClickHouse","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T17:47:22Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T18:37:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin a small, fast-moving team building AI-powered software products and the infrastructure behind them. You will own critical platform capabilities that help bring reliable, user-facing products from early requirements to production.\nWhat You'll Do\nDesign, build, and operate cloud infrastructure and platform services for user-facing products and AI workloads.\n\nOwn infrastructure initiatives from open-ended goals through architecture, implementation, launch, and ongoing improvement.\n\nBuild and maintain durable workflows, containerized services, and infrastructure automation.\n\nDesign and tune databases, including schema design, scaling, and performance optimization.\n\nPartner with product and engineering teammates to deliver reliable systems and respond to user needs.\n\nUse AI coding tools in your day-to-day workflow to increase development speed and effectiveness.\n\nWhat We're Looking For\nTypically 4 to 10 years of experience in infrastructure, platform, or backend engineering, with scope and career progression demonstrating strong ownership.\n\nExtensive hands-on experience operating production cloud infrastructure across AWS, GCP, and Azure.\n\nExperience with Infrastructure as Code tools such as Terraform or CDK, and production Docker workloads.\n\nProduction experience with Temporal or a comparable durable workflow orchestration platform.\n\nStrong database expertise, including schema design, scaling, and performance tuning; the stack includes Postgres, Redis, and ClickHouse.\n\nExperience supporting large-scale production systems or working with substantial data volumes, ideally including infrastructure for AI agents or machine learning workloads.\n\nStartup experience, or experience combining work at a larger technology company with a startup environment.\n\nDaily use of AI coding tools and the ability to explain your development workflow.\n\nCompensation & Benefits\nBase salary range: $200,000 to $300,000 annually. 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