Senior Software Engineer

Modern Technology Solutions Inc•Springfield, VA

1d•Onsite

About The Position

Modern Technology Solutions, Inc. (MTSI) is hiring a Senior Software Engineer in Springfield, VA. Qualified candidates must be U.S. citizens with a TS/SCI clearance and CI Polygraph. This role supports AI/ML Test & Evaluation (T&E) activities for mission-critical national security programs. The engineer will lead the development and maintenance of the technical and process foundation for consistent, traceable, and repeatable execution of MT&E, ST&E, and HMTT&E activities. They will 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. The role involves developing and maintaining the authoritative T&E framework to standardize evaluation workflows, test execution, reporting, and operational data integration across diverse AI/ML models and mission systems. Collaboration with stakeholders, engineers, data scientists, and the mission team is key to establishing scalable and auditable evaluation workflows that support mission-focused operational testing and repeatable AI/ML assessment activities across evolving operational environments. The position also includes documenting T&E processes, tools, metrics, data flows, and evaluation methodologies, supporting development of auditable workflows and operational frameworks, resolving technical integration issues, supporting automation and optimization of evaluation workflows, and contributing to technical documentation, system architecture development, operational reporting, and customer briefings.

Requirements

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.
Experience supporting software development lifecycle activities within Agile or DevSecOps environments.
Strong analytical, troubleshooting, and technical communication skills.
U.S. citizens with a TS/SCI clearance and CI Polygraph.

Nice To Haves

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.

Responsibilities

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.