{"schemaVersion":"jobsearcher.job.v1","id":"78e75abc16eae6e6afe12427","url":"https://jobsearcher.com/jobs/78e75abc16eae6e6afe12427","canonicalUrl":"https://jobsearcher.com/jobs/78e75abc16eae6e6afe12427","title":"Verification Engineer","description":"Job Description:\n\nAbout Science and Technology Corporation\n\nAbout Science and Technology Corporation (STC): STC is a U.S. government contractor providing scientific, engineering, and technical support to federal agencies, with deep roots in NOAA, NASA, and DoD programs. Founded in 1979 and headquartered in Hampton, VA, STC staff support a growing number of operational missions that monitor the Earth through Earth-observing systems and satellite platforms and through direct field research. STC also researches and investigates leading-edge observing technologies and assesses their applicability to operational missions. STC's NOAA Programs team supports a broad range of operational meteorological, environmental, and geospatial programs.\n\nAbout the AWIPS HIVE Program\n\nSTC is seeking candidates to support the National Weather Service (NWS) on the AWIPS Application Environment contract (commonly referred to as HIVE). AWIPS (Advanced Weather Interactive Processing System) is the mission-critical platform used by forecasters at National Weather Service sites nationwide to analyze environmental data and issue the forecasts, watches, and warnings that protect lives and property. Under the HIVE modernization initiative, STC provides engineering and technical talent in direct support of a major cloud transformation effort to move AWIPS from a legacy desktop system to a modern, cloud-native web application built on Amazon Web Services (AWS). The program operates in a collaborative Agile environment and involves migrating complex operational meteorological workflows, tools, and data visualization capabilities to a microservices-based architecture with a React/TypeScript frontend and Java/Spring Boot microservices backend.\n\nAbout This Role\n\nSTC is seeking a Verification Engineer/Quality Assurance specialist to support the National Weather Service (NWS) on the AWIPS Application Environment contract. As a Verification Engineer, you will support human-level validations associated with Gen-AI led test-driven design processes. Your primary responsibility will be to help ensure that AI-generated outputs are thoroughly evaluated and consistently align with established system expectations. You will collaborate closely with cross-functional teams to identify discrepancies, analyze results, and support validation strategies that maintain system integrity and reliability. This role requires strong attention to detail and an interest in quality assurance, testing, and modern software development practices. The successful candidate will work within a collaborative Agile environment supporting operational weather systems and AI-assisted development workflows.\n\nSpecific Duties Will Include\n\nSupport human-level validations for Gen-AI led test-driven design processes\n\nEnsure AI-generated outputs consistently align with system expectations\n\nCollaborate with cross-functional teams to refine and validate AI-driven solutions\n\nIdentify and report discrepancies between AI outputs and desired system behaviors\n\nContribute to the continuous improvement of verification methodologies and tools\n\nAssist with developing and executing test cases and validation activities\n\nSupport troubleshooting and analysis of system behaviors and validation results\n\nMaintain traceability documentation for test coverage and verification outcomes\n\nJob Requirements:\n\nBachelor's degree in Computer Science, Engineering, or related technical field\n\n3+ years of experience in software quality assurance, testing, or verification and validation\n\nUnderstanding of QA fundamentals, test-driven methodologies, and CI/CD pipelines\n\nExperience with automated testing tools and version control systems\n\nAbility to identify, document, and report software defects and system discrepancies\n\nStrong attention to detail and commitment to rigorous testing practices\n\nExcellent written and verbal communication skills\n\nExperience working in Agile/Scrum development environments\n\nPreferred Qualifications\n\nExperience with AI/ML output evaluation or Gen-AI test validation workflows\n\nFamiliarity with advanced validation frameworks or AI model evaluation platforms\n\nExperience with VCRM-style traceability or requirements-driven test coverage\n\nKnowledge of Python or scripting for automated test harness development\n\nJira and Confluence proficiency for defect tracking and documentation\n\nExposure to NOAA, NWS, or other geospatial/earth science data platforms\n\nExperience with distributed system testing or cloud-native application validation\n\nWork Arrangement\n\nFully remote.\n\nCitizenship Requirement\n\nUS Citizenship or Permanent Resident status required.","company":"Science Technology","rawCompany":"science technology","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-11-08T09:52:25.680Z","occupations":[{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"19-4099.01","title":"Quality Control Analysts","slug":"quality-control-analysts"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Verification Engineer","description":"Job Description:\n\nAbout Science and Technology Corporation\n\nAbout Science and Technology Corporation (STC): STC is a U.S. government contractor providing scientific, engineering, and technical support to federal agencies, with deep roots in NOAA, NASA, and DoD programs. Founded in 1979 and headquartered in Hampton, VA, STC staff support a growing number of operational missions that monitor the Earth through Earth-observing systems and satellite platforms and through direct field research. STC also researches and investigates leading-edge observing technologies and assesses their applicability to operational missions. STC's NOAA Programs team supports a broad range of operational meteorological, environmental, and geospatial programs.\n\nAbout the AWIPS HIVE Program\n\nSTC is seeking candidates to support the National Weather Service (NWS) on the AWIPS Application Environment contract (commonly referred to as HIVE). AWIPS (Advanced Weather Interactive Processing System) is the mission-critical platform used by forecasters at National Weather Service sites nationwide to analyze environmental data and issue the forecasts, watches, and warnings that protect lives and property. Under the HIVE modernization initiative, STC provides engineering and technical talent in direct support of a major cloud transformation effort to move AWIPS from a legacy desktop system to a modern, cloud-native web application built on Amazon Web Services (AWS). The program operates in a collaborative Agile environment and involves migrating complex operational meteorological workflows, tools, and data visualization capabilities to a microservices-based architecture with a React/TypeScript frontend and Java/Spring Boot microservices backend.\n\nAbout This Role\n\nSTC is seeking a Verification Engineer/Quality Assurance specialist to support the National Weather Service (NWS) on the AWIPS Application Environment contract. As a Verification Engineer, you will support human-level validations associated with Gen-AI led test-driven design processes. Your primary responsibility will be to help ensure that AI-generated outputs are thoroughly evaluated and consistently align with established system expectations. You will collaborate closely with cross-functional teams to identify discrepancies, analyze results, and support validation strategies that maintain system integrity and reliability. This role requires strong attention to detail and an interest in quality assurance, testing, and modern software development practices. The successful candidate will work within a collaborative Agile environment supporting operational weather systems and AI-assisted development workflows.\n\nSpecific Duties Will Include\n\nSupport human-level validations for Gen-AI led test-driven design processes\n\nEnsure AI-generated outputs consistently align with system expectations\n\nCollaborate with cross-functional teams to refine and validate AI-driven solutions\n\nIdentify and report discrepancies between AI outputs and desired system behaviors\n\nContribute to the continuous improvement of verification methodologies and tools\n\nAssist with developing and executing test cases and validation activities\n\nSupport troubleshooting and analysis of system behaviors and validation results\n\nMaintain traceability documentation for test coverage and verification outcomes\n\nJob Requirements:\n\nBachelor's degree in Computer Science, Engineering, or related technical field\n\n3+ years of experience in software quality assurance, testing, or verification and validation\n\nUnderstanding of QA fundamentals, test-driven methodologies, and CI/CD pipelines\n\nExperience with automated testing tools and version control systems\n\nAbility to identify, document, and report software defects and system discrepancies\n\nStrong attention to detail and commitment to rigorous testing practices\n\nExcellent written and verbal communication skills\n\nExperience working in Agile/Scrum development environments\n\nPreferred Qualifications\n\nExperience with AI/ML output evaluation or Gen-AI test validation workflows\n\nFamiliarity with advanced validation frameworks or AI model evaluation platforms\n\nExperience with VCRM-style traceability or requirements-driven test coverage\n\nKnowledge of Python or scripting for automated test harness development\n\nJira and Confluence proficiency for defect tracking and documentation\n\nExposure to NOAA, NWS, or other geospatial/earth science data platforms\n\nExperience with distributed system testing or cloud-native application validation\n\nWork Arrangement\n\nFully remote.\n\nCitizenship Requirement\n\nUS Citizenship or Permanent Resident status required.","datePosted":"2026-11-08T09:52:25.680Z","dateModified":"2026-11-08T09:52:25.680Z","hiringOrganization":{"@type":"Organization","name":"Science Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"78e75abc16eae6e6afe12427"},"url":"https://jobsearcher.com/jobs/78e75abc16eae6e6afe12427"}}