{"id":4296884,"url":"https://alion.io/job/true-talent-solutions-partners-infrastructure-engineer-3","title":"Infrastructure Engineer","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":"DevOps","role_family":"DevOps","seniority":"senior","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":150000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false}],"status":"live","first_seen_at":"2026-11-14T00:17:07Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T01:37:30Z","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 company building an enterprise data platform for financial services. You will help create and secure the infrastructure that processes sensitive structured and unstructured data while supporting reliable AI workloads.\nWhat You'll Do\nDesign scalable infrastructure for an AI-powered platform handling structured and unstructured financial data.\n\nBuild security-focused architecture for private cloud deployments and support data governance requirements.\n\nDevelop robust ingestion pipelines for financial feeds and internal business documents.\n\nCreate monitoring and alerting systems for customer-managed cloud deployments.\n\nImplement access controls and audit trails that connect AI interactions to their source materials.\n\nPartner with AI research and product teams to optimize infrastructure for LLM inference, training, and agent workloads.\n\nEstablish CI/CD and infrastructure-as-code practices for reliable deployments across cloud providers.\n\nWhat We're Looking For\nTypically 5 to 10 years of experience in infrastructure, platform, or data infrastructure engineering.\n\nStrong expertise in at least one major cloud platform: AWS, GCP, or Azure.\n\nExperience with containerization and Kubernetes at scale, plus data pipeline tooling.\n\nFamiliarity with monitoring, logging, and observability tools such as Datadog.\n\nSecurity-minded experience with data governance, ideally in regulated industries.\n\nUnderstanding of compliance frameworks such as SOC, SOX, GDPR, or financial services regulations.\n\nExperience with AI platforms such as SageMaker or Bedrock is useful.\n\nStrong infrastructure engineering foundations, a record of increasing scope, and interest in early-stage environments.\n\nCompensation & Benefits\nBase salary: $150,000 to $300,000 annually. 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