{"id":3578371,"url":"https://alion.io/job/true-talent-solutions-partners-senior-platform-engineer-4","title":"Senior Platform 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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FedRAMP","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"closed","first_seen_at":"2026-10-31T22:19:13Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-03T00:58:51Z","board_verified":false,"closed_at":"2026-11-03T00:58:51Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nJoin a public safety technology team building and operating the cloud data platform behind large-scale search and retrieval systems. You will own core infrastructure and distributed services, helping make them reliable, secure, and scalable.\nWhat You'll Do\nDesign and operate data infrastructure for large-scale ingestion into object storage and indexing in databases and vector stores.\n\nMake architecture decisions across storage tiers, distributed databases, and high-throughput messaging and streaming systems.\n\nDeploy and scale containerized services across environments using orchestration platforms, declarative configuration, and GitOps workflows.\n\nBuild and maintain CI/CD pipelines, infrastructure as code, and tools that support safe, frequent releases.\n\nHelp operate secure, auditable systems in federal or other regulated environments.\n\nDebug and tune systems across application code, storage, and networking, and mentor engineers through reviews, pairing, and technical guidance.\n\nWhat We're Looking For\nFive or more years of professional software engineering experience building and maintaining production systems, ideally within a 5 to 10 year career range.\n\nHands-on experience with AWS production workloads and designing large-scale data storage and retrieval across hot and cold tiers.\n\nA strong foundation in distributed systems, backend engineering, production data pipelines, and end-to-end ownership, including deployment and on-call operations.\n\nExperience with DevOps practices such as CI/CD, infrastructure as code, observability, and automated deployments.\n\nExperience running containerized services with Docker and Kubernetes, and familiarity with Terraform, GitOps, ArgoCD, and Helm.\n\nFamiliarity with Python or Go, PostgreSQL, vector databases, S3 or similar object storage, Kafka, and distributed SQL databases.\n\nFederal, FedRAMP, or other regulated-environment experience is helpful.\n\nMust be authorized to work in the United States without sponsorship.\n\nCompensation & Benefits\nBase salary range: $175,000 to $220,000 annually. 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