JOBSEARCHER

Lead Full Stack Engineer

Overview As Lead Full Stack Engineer you will guide the development of a secure, scalable federal analytics platform that unifies structured and unstructured data for search, analytics, and AI-assisted decision support. You’ll collaborate with government customers and cross‑functional teams to design end-to-end solutions, uphold security and accessibility standards, and deliver an MVP within seven months. This role combines hands‑on coding with technical leadership to shape a mission‑critical data platform. Compensation / Benefitscompetitive compensationbonusesemployer-paid health caretraining and development funds401k match ResponsibilitiesProvide technical leadership and hands-on development for a full-stack engineering team delivering secure Federal applicationsDesign, develop, and maintain backend services, REST APIs, data-access layers, and enterprise applications using Java and/or .NETBuild frontend components, dashboards, reports, award views, signals, and AI-assisted workflowsIntegrate open-source AI/ML models into secure applications and workflows (model-serving, inference, prompts)Develop solutions combining structured and unstructured data for search, analytics, monitoring, and AI-assisted decision supportDesign secure, scalable architectures for on-premises, hybrid, or controlled Federal environmentsEnforce coding standards, code reviews, automated testing, CI/CD, and release-readiness controlsImplement authentication, RBAC, audit logging, data protection, and accessibilityCollaborate with OMB, pilot agencies, product owners, data engineers, AI/ML practitioners, and othersTroubleshoot complex technical issues and guide architecture decisions for scalability, security, and performanceProduce technical documentation for Government operation, maintenance, and expansionEnsure practices align with Federal security, privacy, accessibility, records management, and data ownership requirementsSupport MVP delivery by end of Month 6 within seven-month period of performance Key requirements7+ years in full-stack software engineering with enterprise applications experienceStrong hands-on experience with Java and/or .NET/C# in enterprise developmentExperience designing secure web apps, REST APIs, backend services, and data-access layersExperience integrating AI capabilities and working with open-source AI/ML models or frameworksProficiency with Git, automated testing, CI/CD, code reviews, and Agile developmentAbility to establish or enforce software engineering standards and best practicesKnowledge of authentication, RBAC, audit logging, secure coding, accessibility, and performanceExperience with relational databases handling structured and unstructured dataAbility to lead technically while remaining hands-on in architecture, coding, troubleshooting, and deliveryStrong communication, documentation, problem-solving, and cross-functional collaborationU.S. citizenship and ability to obtain Top Secret clearance; Top Secret clearance highly preferredPreferred: experience integrating AI models in Federal environments, experience with LLMs/RAG/embeddings, and Federal financial management domainscross-functional collaborationclear communicationproblem-solvingJava.NET/C#REST APIs