Lead Full Stack Engineer

Job Description

Job Description

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. 

Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business.  We work with U.S. government customers in health, civilian, and national security missions.  As a core member you’ll work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives.  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. 

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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