{"id":4054574,"url":"https://alion.io/job/true-talent-solutions-partners-infrastructure-engineer-2","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":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":"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}],"status":"live","first_seen_at":"2026-11-11T02:14:50Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T03:59:37Z","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 design and secure infrastructure for processing sensitive financial information across cloud environments.\nWhat You'll Do\nDesign and build scalable infrastructure for AI systems that process structured and unstructured financial data.\n\nDevelop security-first architecture for private cloud deployments and support data governance requirements.\n\nBuild reliable 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 material.\n\nPartner with AI research and product teams to optimize infrastructure for model inference, training, and agent workloads.\n\nEstablish CI/CD practices and infrastructure as code 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, with scope appropriate to a senior-level role.\n\nExpertise in at least one major cloud platform: AWS, GCP, or Azure.\n\nExperience with containers and Kubernetes at scale, plus data pipeline or ingestion tooling.\n\nFamiliarity with monitoring, logging, and observability tools such as Datadog.\n\nSecurity-minded engineering experience, ideally involving data governance or regulated industries.\n\nUnderstanding of compliance requirements such as SOC, SOX, GDPR, or financial services regulations.\n\nExperience with AI platforms such as SageMaker or Bedrock is helpful.\n\nStrong computer science fundamentals and a track record of growing technical scope.\n\nCompensation & Benefits\nBase salary: $150,000 to $300,000 annually. 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