CaseGuard
CaseGuard builds CaseGuard Studio, an AI-powered redaction and investigation platform for video, audio, images, and documents used by law enforcement, government, legal, and education teams. The software runs locally and on-premises and is sold to organizations that need to automate redaction and manage evidence workflows. Privately held and headquartered in Arlington, Virginia, the company focuses on public-sector and regulated industries handling sensitive media.
Open Positions at CaseGuard
7 open positions
Build and enhance high-quality Windows desktop user interfaces for CaseGuard’s media redaction software using C#, WPF, and .NET. You’ll work closely with product owners and designers while improving application performance, stability, and maintainability.
Build scalable backend microservices, REST APIs, file-processing workers, and AWS infrastructure for a collaborative media redaction platform. You’ll work with ASP.NET Core, C#, databases, distributed caching, and cloud-native technologies while contributing to system architecture.
Own major areas of CaseGuard Studio, a feature-rich C#/.NET WPF desktop application for media redaction. You’ll lead technical design, build high-performance UI and frameworks, modernize legacy code, and mentor engineers.
Build the frontend architecture behind CaseGuard’s browser-based media redaction platform, including real-time collaboration and complex document and video manipulation. You’ll own major features from design through production while shaping engineering standards and mentoring the team.
Build and own CaseGuard’s scalable backend platform, including APIs, microservices, document-processing workers, databases, and AWS infrastructure. This high-ownership role also contributes to architecture, mentoring, security, reliability, and cross-functional feature delivery.
CaseGuard seeks a DevOps Engineer to automate and optimize AWS infrastructure, deployments, monitoring, and security for ASP.NET and .NET applications. The role emphasizes GitLab CI/CD, AWS CDK, containers, networking, and high-availability cloud operations.
Build and deploy computer vision models for image and video applications, optimizing them for real-time production performance. The role combines deep learning, data preparation, cloud deployment, and MLOps in a collaborative software team.