Build a data-focused product using open source solutions, focusing on both backend and frontend development while ensuring low-latency system performance.

Responsible for implementing secure and automated software delivery solutions, managing CI/CD pipelines, and collaborating with teams to ensure security standards.

The Software Engineer - Graph Technologies will develop graph-based applications, optimize data queries, and mentor junior engineers, focusing on complex data relationships.

The Software Engineer will develop, test, and deploy infrastructure solutions, collaborating with peers and owning specific modules, while being mentored.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Develop and deploy Machine Learning models as part of a data team. Collaborate with engineers, analysts, and scientists. Innovate across ML fields.

As a Software Engineer, you will design and develop scalable backend systems, mentor junior engineers, and work on security and performance across applications.

As a Senior DevSecOps Engineer, you'll lead the lifecycle management of applications, ensure security, implement CI/CD pipelines, and collaborate with clients on innovative solutions.

Lead UI/UX design for DevSecOps tools, conduct user research, create prototypes, implement frontend code, and collaborate with stakeholders to enhance user experiences in secure environments.

The Data Engineer will build data platforms, backend services, and connect projects while working with government stakeholders, focusing on data engineering and transformation.

The Forward Deployed Engineer will act as a technical liaison, troubleshooting production systems and supporting operational deployments in a client-facing role. Responsibilities include debugging Kubernetes environments and interfacing with stakeholders to ensure system reliability.

Lead the design and development of scalable frontend systems, mentor engineers, and ensure performance and security across applications.

The Principal Machine Learning Engineer will lead ML lifecycle projects, developing AI strategies, and implementing advanced machine learning solutions for government clients, while ensuring data integrity and operational efficiency.

As a Cloud Services Architect, you will design and manage cloud environments, integrate virtualization systems, translate customer needs, and ensure security and compliance for DoD clients.