{"id":4210169,"url":"https://alion.io/job/true-talent-solutions-partners-forward-deployed-engineer-infrastructure-4","title":"Forward Deployed Engineer, Infrastructure","company":{"id":4415660,"name":"True Talent Solutions Partners","domain":"truetalentsolutionspartners.com","url":"https://alion.io/company/true-talent-solutions-partners","size_band":"11-50","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":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-13T00:15:45Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T00:44:50Z","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 to lead end-to-end software deployments in enterprise customer environments, from cloud VPCs to on-premises hardware. You will work directly with customer engineering teams to make complex deployments reliable, secure, and repeatable.\nWhat You'll Do\nPlan, configure, test, and roll out deployments in customer cloud and on-premises environments.\n\nPartner with customer IT, security, and platform teams, including through live technical discussions and occasional office visits.\n\nDiagnose and resolve infrastructure issues involving Kubernetes configuration, cloud IAM, networking, and related systems.\n\nBuild monitoring, telemetry, and automation that turn deployment-specific work into reusable patterns.\n\nUnderstand the hardware requirements of machine learning workloads and deploy them 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 cloud platforms such as AWS, GCP, or Azure.\n\nExperience with networking, infrastructure as code, Linux, Docker, Helm, and cloud IAM.\n\nBackground deploying software into customer-controlled environments, such as BYOC or VPC deployments, air-gapped systems, on-premises installations, or customer-managed clusters.\n\nAbility to communicate clearly, structure technical explanations, and diagnose issues live with external engineering teams.\n\nExperience in a startup or high-growth environment, with evidence of strong technical ownership and consistent role tenure.\n\nGPU infrastructure experience and familiarity with deployment tools such as Replicated or KOTS are relevant.\n\nCompensation & Benefits\nBase salary: $200,000 to $300,000 annually. 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