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Title: Software DeveloperJob Location: Springfield, VA\nCompensation: $170,000 - $175,000\nEligibility/Clearance: Candidate must possess an active TS/SCI clearance\nand be willing to obtain a CI Polygraph\nJob Description:\nDesigns, develops, evaluates, plans and tests AI features across a few\nsoftware programs and applications\nJob Duties:\n- Integrate multiple data streams into customer system\n- Complete Cloud platform migrations (between currently existing and\navailable platforms)\n- Develop AI features for existing Ontology-based software\napplications\n- Creates sustainable software applications - work is estimated\naccurately, branching strategies are efficient, code repos are\nmaintained, etc.\n- Works as a member of an agile scrum team and participates in regular\nagile ceremonies applying scrum methodologies - daily stand up,\nplanning, sprint reviews, demos, retrospectives.\n- Implements requirements from the product backlog\n- Assists in writing backlog requirements/user stories\n- Utilizes a modern DevSecOps approach in building software\napplications\n- Develop and modify applications, software, services, utilities,\ninterfaces, and IT systems that support systems and analysts.\nSkills/Qualifications:\nRequired:\n- 5+ years of experience\n- Bachelor's Degree in computer science, computer engineering, systems\nengineering or any related field/major, or 3 additional years of\nexperience in information technology.\nSenior-level software development experience designing, developing,\nand maintaining secure, scalable, and mission-focused applications.\nStrong programming experience with Python, Java, and/or Scala.\nExperience developing and integrating RESTful APIs, Git-based\nworkflows, automated unit/integration/system testing, CI/CD pipelines,\nand modern software delivery practices.\nHands-on experience with Docker/containerization, microservice\narchitectures, Helm, and development container environments.\nExperience developing applications using Generative AI technologies,\nincluding Retrieval-Augmented Generation (RAG), Large Language Models\n(LLMs), and LLM-enabled workflows.\nExperience designing, deploying, and supporting cloud-native\napplications using AWS, OpenShift, and Kubernetes.\nExperience integrating, transforming, and managing data from\nmultiple sources, organizations, and network environments.\nExperience deploying applications into new or complex network\nenvironments.\nExperience applying DevSecOps practices, including secure software\ndevelopment, code hardening, dependency/package updates, vulnerability\nremediation, and automated security scanning.\nAbility to troubleshoot complex software systems and collaborate\nacross development, infrastructure, security, and mission teams.\nDesired:\nFamiliarity with data normalization, transformation, and\nvisualization techniques.\nFamiliarity with graph-based data models, data relationships, and\nadvanced data structures.\nExperience working in Agile/Scrum 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