{"id":3836044,"url":"https://alion.io/job/true-talent-solutions-partners-forward-deployed-engineer-infrastructure-3","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":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":"closed","first_seen_at":"2026-11-05T17:54:38Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T20:19:23Z","board_verified":false,"closed_at":"2026-11-09T20:19:23Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nJoin an AI infrastructure team to lead deployments of machine learning software in enterprise customer environments, from cloud VPCs to on-premises infrastructure. You will work directly with customer engineering, IT, security, and platform teams to make complex deployments reliable and repeatable.\nWhat You'll Do\nPlan, configure, test, and roll out deployments across customer VPC and on-premises environments.\n\nPartner with customer engineers and senior stakeholders, including through live calls and shared communication channels.\n\nDiagnose and resolve customer-specific Kubernetes, cloud IAM, and networking issues.\n\nBuild monitoring, telemetry, and automation that turn one-off deployment work into reusable patterns.\n\nUnderstand the hardware supporting machine learning models 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, with relevant experience in the 3 to 10+ year range.\n\nDeep production expertise with Kubernetes and Terraform, plus experience with AWS, GCP, or Azure, networking, and infrastructure as code.\n\nFamiliarity with Python, Helm, Docker, Linux, GPU infrastructure, and customer deployment tools such as Replicated or KOTS.\n\nExperience deploying software into customer-controlled environments, such as BYOC or VPC, air-gapped systems, on-premises installations, or customer-managed clusters.\n\nClear, structured communication and the ability to troubleshoot live with external engineering teams.\n\nInfrastructure experience at a startup or high-growth technology company, with a strong record of delivery and sustained role tenure.\n\nCompensation & Benefits\nBase salary: $200,000 to $300,000 annually. 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