Remote Senior Software Engineer

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management.

The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers’ bespoke mission requirements, are enabling this future every day. The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN).

In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community. We are seeking to hire a Senior Software Engineer to our team!

Client: CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management’s (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO). Duties and Responsibilities: Cross-Platform Integration: Design and implement robust APIs and middleware that connect AI agents to a mixed-tech stack (Node.js, .NET, Python, etc.), ensuring seamless data flow and interoperability. Technical Mentorship: Guide teams on best practices for integrating non-deterministic AI components into strictly typed mission-critical enterprise applications.

Hybrid Workflow Engineering: Develop the orchestration logic that determines when a task is handled by a traditional rule-based system versus an autonomous AI agent Deterministic Guardrail Design: Build "Validation Services" that sit between AI outputs and core systems to enforce rigid business rules, Data-Intensive Development: Use Python and PySpark to build robust data pipelines that feed high-context information into AI models while maintaining traditional SQL-based transactional integrity. System Integration: Proven experience building and consuming RESTful APIs and managing service-to-service communication in a cloud environment (Azure preferred). Modern DevOps: Deep knowledge of Git, Azure DevOps, and containerization (Docker/Kubernetes).

CI/CD for Systems: Establish deployment pipelines that include specialized testing for AI and interconnected components, such as prompt versioning, regression testing for model updates, and assisting with chaos-testing of logic flows. Agile Delivery: Lead and participate in Agile development ceremonies, manage work through DevOps tools, and maintain source control using Git-based workflows. Skills