{"id":1629408,"url":"https://alion.io/job/ralliant-product-engineer-analytics-as-a-service","title":"Product Engineer – Analytics as a Service","company":{"id":2241821,"name":"Ralliant","domain":"ralliant.com","url":"https://alion.io/company/ralliant","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":22,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rochester, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3441},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-22T19:49:04Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-22T22:03:16Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"Product Engineer - Analytics as a Service\nPosition Summary\nThe Product Engineer is responsible for rapidly designing, building and delivering cloud-native analytics services that create measurable customer value. The engineer will operate as a full-stack product builder rather than traditional software developers, owning features from concept through production.\nWorking alongside the Product Owner and SaaS Architect, the Product Engineer will leverage AI-assisted, specification-driven development practices to accelerate delivery while maintaining exceptional software quality. The engineer is expected to iterate quickly with customers, continuously improve the platform and contribute across the full software lifecycle.\nThis role is intended for builders who thrive in high-growth, fast-paced environments where speed, ownership and customer impact are equally important.\nPrimary Responsibilities\nProduct Development\nDesign, develop and maintain cloud-native analytics services.\nDeliver production-ready software across:\nBackend services\nAPIs\nData pipelines\nUser interfaces\nCloud infrastructure\nAnalytics capabilities\nAI-First Development\nUse AI extensively to accelerate:\nsoftware design\nspecification refinement\ncoding\nunit testing\nintegration testing\ndocumentation\ntroubleshooting\ncode reviews\nContinuously improve engineering productivity through AI-enabled development practices.\nCustomer-Centric Engineering\nWork closely with Product Owner and Customer Success to:\nunderstand customer needs\nvalidate assumptions\nprototype rapidly\nincorporate customer feedback\ndeliver frequent releases\nMaintain direct awareness of customer outcomes rather than simply completing development tasks.\nEngineering Quality\nBuild software that is:\nSecure\nReliable\nObservable\nMaintainable\nWell-tested\nHighly scalable\nParticipate in architecture discussions, peer reviews and continuous improvement initiatives.\nTeam Collaboration\nPartner closely with:\nProduct Owner\nSaaS Architect\nDevOps\nCustomer Success\nCommercial Leader\nContribute to a collaborative, high-performance engineering culture focused on rapid execution and continuous learning.\nRequired Experience\n5+ years professional software development\nExperience developing SaaS applications\nExperience with cloud-native architectures\nStrong full-stack development skills\nExperience with Agile software delivery\nExperience working in fast-paced product organizations\nPreferred Experience\nExperience with:\nMicrosoft Azure\nAWS\nKubernetes\nModern web frameworks\nDistributed systems\nIndustrial IoT\nData analytics platforms\nAI-assisted software development\nSuccess Measures\nWithin 12 months:\nConsistently deliver high-quality production features\nMaintain rapid release cadence\nHigh automated test coverage achieved\nAI-assisted development practices fully adopted\nStrong customer adoption of delivered capabilities\nActive contribution to continuous platform improvement\nTravel\nApproximately 10% travel, including periodic customer visits to strengthen product understanding.","description_format":"text","description_chars":3012,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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