Top Software Engineer Jobs in Hampton Roads, VA

Design and implement enterprise geospatial architectures, GIS applications, and mapping services; integrate geospatial data into cloud platforms and dashboards; develop spatial analysis, remote sensing, and geospatial AI/ML capabilities; ensure system interoperability, produce architecture recommendations, and document standards for operational intelligence support.

Develop and manage .Net applications within Trizetto Facets application, create SSIS packages, collaborate with businesses on requirements, and utilize Agile methodologies.

The role involves leading functional and technical PeopleSoft ERP teams for upgrades and projects, coordinating UAT, and managing client engagements in public sector environments.

The SharePoint Developer will design, develop, and maintain SharePoint solutions to enhance collaboration and data management for the Naval Surface Warfare Center, ensuring effective IT operations and user training.

As a SharePoint Developer, design, develop, and support SharePoint 2019 and Online solutions, customizing sites and workflows, and collaborating with stakeholders to meet business needs.

The Senior IT Specialist leads software development and database administration for enterprise eCommerce systems, ensuring both integration and support of applications in a retail context.

Build and deliver end-to-end features across backend APIs (NestJS/TypeScript) and frontend interfaces (React/TypeScript), integrate third-party services, own production services (on-call, monitoring, incident response with Datadog), contribute to architecture, and mentor other engineers. Work across web and React Native mobile apps, and help scale integrations and event-driven systems.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.