{"id":4084772,"url":"https://alion.io/job/true-talent-solutions-partners-forward-deployed-infrastructure-engineer","title":"Forward Deployed Infrastructure 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":"Solutions","role_family":"Solutions","seniority":"middle","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":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T17:42:22Z","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 an AI infrastructure team deploying machine learning software into enterprise customer environments, from cloud VPCs to on-premises hardware. You will own deployments end to end and work directly with customer IT, security, and platform teams to make complex installations reliable and repeatable.\nWhat You'll Do\nPlan, configure, test, and roll out deployments across customer cloud and on-premises environments.\n\nPartner with customer engineers and technical leaders, including through live calls and shared communication channels.\n\nDiagnose and resolve infrastructure issues involving Kubernetes configuration, cloud IAM, and networking.\n\nBuild monitoring, telemetry, and automation that turn one-off deployment work into repeatable patterns.\n\nUnderstand the hardware used for machine learning workloads and deploy those workloads on customer-controlled infrastructure.\n\nWhat We're Looking For\nAt least 3 years of experience in infrastructure engineering, DevOps, or SRE.\n\nDeep production experience with Kubernetes and Terraform, plus hands-on expertise with AWS, GCP, or Azure, networking, and infrastructure as code.\n\nExperience with tools and technologies such as Python, Helm, Docker, Linux, GPU infrastructure, and customer-managed deployment environments.\n\nExperience shipping software into customer-controlled environments, such as VPC, air-gapped, on-premises, or customer-managed cluster deployments.\n\nClear, structured communication and the ability to diagnose technical issues live with external engineering teams.\n\nExperience in a startup or high-growth technology environment and a strong record of engineering ownership.\n\nCompensation & Benefits\nBase salary: $200,000 to $300,000 annually. 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