We are seeking an experienced
Lead Full Stack Engineer to lead development of secure APIs, dashboards, reports, award views, signals, and AI-assisted workflows for a Federal data analytics and AI modernization initiative.
The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.
We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Key Responsibilities- Provide technical leadership and hands-on development for a full-stack engineering team delivering secure Federal applications.
- Design, develop, and maintain backend services, REST APIs, data-access layers, and enterprise applications using Java and/or .NET.
- Build responsive, reusable front-end components, dashboards, reports, award views, signals, and AI-assisted workflows.
- Integrate open-source AI and machine learning models into secure applications and workflows, including model-serving, inference, prompt/workflow integration, and evaluation as appropriate.
- Develop solutions that combine structured and unstructured data to support search, analytics, monitoring, and AI-assisted decision support.
- Design secure, scalable application architectures that can operate in on-premises, hybrid, or controlled Federal environments.
- Establish and enforce coding standards, code-review practices, automated testing, CI/CD processes, and release-readiness controls.
- Implement secure application capabilities including authentication, role-based access control (RBAC), audit logging, data protection, and accessibility.
- Collaborate with OMB, pilot agencies, product owners, data engineers, AI/ML practitioners, and other multidisciplinary technical teams through iterative development and user testing.
- Troubleshoot complex technical issues and make architectural and implementation decisions that support scalability, maintainability, security, and performance.
- Produce clear technical documentation supporting Government operation, maintenance, transition, and future expansion.
- Ensure development practices align with Federal security, privacy, accessibility, records-management, and Government data-ownership requirements.
- Support delivery of the MVP by the end of Month 6 within the seven-month period of performance.
Required Qualifications- 7+ years of experience in full-stack software engineering, including experience developing and supporting enterprise applications.
- Strong hands-on experience with Java and/or .NET/C# in enterprise application development.
- Experience designing and building secure web applications, REST APIs, backend services, data-access layers, and reusable front-end components.
- Experience integrating AI capabilities into software applications, including experience working with open-source AI/ML models or frameworks.
- Experience with modern software development practices, including Git, automated testing, CI/CD, code reviews, and Agile development.
- Experience establishing or enforcing software engineering standards and development best practices.
- Knowledge of application security concepts including authentication, RBAC, audit logging, secure coding, accessibility, and application performance.
- Experience working with relational databases and developing applications that consume and transform structured and unstructured data.
- Ability to provide technical leadership while remaining hands-on with architecture, coding, troubleshooting, and delivery.
- Strong communication, documentation, problem-solving, and cross-functional collaboration skills.
- U.S. citizenship and ability to obtain and maintain Top Secret eligibility, as required for all contractor personnel supporting the effort.
- Active Top Secret clearance highly preferred.
Preferred Qualifications- Experience integrating and deploying open-source AI models in enterprise or Federal environments.
- Experience with AI technologies such as LLMs, retrieval-augmented generation (RAG), embeddings, vector search, model APIs, model serving, or AI agent/workflow frameworks.
- Experience supporting OMB, Federal financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship.
- Experience delivering technology solutions in secure Federal, on-premises, air-gapped, or hybrid environments.
- Experience with Linux, PostgreSQL and/or Microsoft SQL Server.
- Experience with Jenkins, Azure DevOps, Kubernetes/Rancher, or comparable DevSecOps technologies.
- Familiarity with modern Java and .NET frameworks and enterprise application architectures.
- Experience working with data visualization, analytics platforms, or decision-support applications.
- Experience translating user and mission requirements into technical designs and production-ready software.
- Familiarity with Federal security, privacy, accessibility, and compliance requirements.
- Experience supporting Federal financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship is preferred.
- Experience supporting Federal financial management, grants, payment, or award-oversight platforms.
