Senior Software Engineer

Location: Springfield, VA

Work Location: onsite

• Support AI/ML Test & Evaluation (T&E) activities for mission-critical national security programs.
• Leads the development and maintenance of the technical and process foundation required for consistent, traceable, and repeatable execution of MT&E, ST&E, and HMTT&E activities across the program.
• Design and implement the operational ST&E environment by provisioning virtual infrastructure and integrating tools, data pipelines, and evaluation capabilities that replicate deployed operational model environments.
• Develops and maintains the authoritative T&E framework used to standardize evaluation workflows, test execution, reporting, and operational data integration across diverse AI/ML models and mission systems.
• Works closely with stakeholders, engineers, data scientists, and the mission team to establish scalable and auditable evaluation workflows that support mission-focused operational testing and repeatable AI/ML assessment activities across evolving operational environments.
• Integrate virtual infrastructure, tools, data pipelines, and evaluation capabilities that replicate deployed operational model environments.
• Document T&E processes, tools, metrics, data flows, and evaluation methodologies supporting repeatable operational assessments.
• Support development of auditable workflows and operational frameworks aligned with mission objectives and compliance requirements.
• Resolve technical integration issues affecting evaluation consistency, operational scalability, and workflow reliability.
• Support automation, orchestration, and optimization of operational AI/ML evaluation workflows across evolving environments.
• Contribute to technical documentation, system architecture development, operational reporting, and customer briefings.

• 8+ years of demonstrated experience supporting software engineering, system integration, or operational platform development activities.
• Experience developing scalable applications, workflows, or infrastructure supporting mission or enterprise environments.
• Familiarity with cloud-based architectures, virtual infrastructure, APIs, and automated deployment pipelines.
• Familiarity with scripting languages such as Python, Bash, or similar technologies.
• Experience supporting software development lifecycle activities within Agile or DevSecOps environments.
• Strong analytical, troubleshooting, and technical communication skills.

• Bachelor’s Degree in software/systems engineering or similar field, or additional relevant experience in lieu of a degree.

• Experience supporting DoD, NGA, or Intelligence Community programs.
• Familiarity with AI/ML operational environments, evaluation pipelines, and testing frameworks.
• Experience with containerization technologies, orchestration frameworks, CI/CD pipelines, and cloud-native development.
• Familiarity with operational data pipelines, workflow automation, and scalable evaluation architectures.
• Experience supporting mission-focused T&E or operational AI/ML environments.

• Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.