22 hours ago
Bethesda, MD, USAStaff+
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, enterprise applications, and reusable frontend components.
- Build dashboards, reports, award views, signals, and AI-assisted workflows supporting search, analytics, monitoring, and decision support.
- Integrate and deploy open-source AI and machine-learning models, including model serving, inference, prompt and workflow integration, and evaluation.
- Design secure, scalable architectures for on-premises, hybrid, and controlled Federal environments.
- Establish coding standards, code reviews, automated testing, CI/CD processes, and release-readiness controls.
- Implement authentication, role-based access control, audit logging, data protection, accessibility, and other secure application capabilities.
- Collaborate with government agencies, product owners, data engineers, AI/ML practitioners, and multidisciplinary technical teams through iterative development and user testing.
- Troubleshoot complex technical issues and make architecture and implementation decisions supporting scalability, maintainability, security, and performance.
- Produce technical documentation for government operation, maintenance, transition, and future expansion.
- Align development practices with Federal security, privacy, accessibility, records-management, and data-ownership requirements.
- Support delivery of the minimum viable product by the end of Month 6 within the seven-month period of performance.
Requirements
- At least 7 years of full-stack software engineering experience, including developing and supporting enterprise applications.
- Strong hands-on experience with Java and/or .NET/C# for enterprise application development.
- Experience designing and building secure web applications, REST APIs, backend services, data-access layers, and reusable frontend components.
- Experience integrating AI capabilities into software applications and working with open-source AI/ML models or frameworks.
- Experience with Git, automated testing, CI/CD, code reviews, and Agile development.
- Experience establishing or enforcing software engineering standards and development best practices.
- Knowledge of authentication, RBAC, audit logging, secure coding, accessibility, and application performance concepts.
- Experience with relational databases and 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 are required.
- An active Top Secret clearance is highly preferred.
- Preferred experience includes open-source AI model deployment, LLMs, retrieval-augmented generation, embeddings, vector search, model APIs, model serving, and AI agent or workflow frameworks.
- Preferred experience includes Federal financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship.
- Preferred experience includes secure Federal, on-premises, air-gapped, or hybrid environments and data visualization, analytics, or decision-support applications.
- Preferred experience includes Linux, PostgreSQL and/or Microsoft SQL Server, Jenkins, Azure DevOps, Kubernetes/Rancher, or comparable DevSecOps technologies.
- Familiarity with modern Java and .NET frameworks, enterprise application architectures, and Federal security, privacy, accessibility, and compliance requirements is preferred.
Benefits
- Competitive compensation with opportunities for bonuses.
- Employer-paid health care.
- Training and development funds.
- 401(k) match.
- The role supports a seven-month period of performance with an MVP targeted by the end of Month 6.
- Work may involve on-premises, hybrid, or controlled Federal environments.
Tech Stack
Categories
About Analytica
Analytica provides data and software engineering, analytics, and IT modernization consulting to U.S. government health, civilian, and national security agencies. Its services span cloud and enterprise data platforms (e.g., AWS, Databricks), DevSecOps, GIS, and AI/ML, delivered via government contracts. Founded in 2009 and headquartered in Washington, DC, the privately held firm is an SBA-certified 8(a) and HUBZone small business.