Lead Software Engineer

About the role

About the Team

STR’s Intelligence Division researches, develops, and transitions advanced analytics and machine-learning solutions for challenging national-security problems. Our team includes engineers and researchers with advanced backgrounds in engineering, computer science, mathematics, and data science who apply deep technical expertise and creativity to mission-critical challenges.

Our work spans data analysis, deep learning, and statistical methods across networking, communications, social media, text, time series, geospatial, and imagery data. We develop capabilities under constraints not typically encountered in commercial environments. U.S. Government analysts use our tools and technologies to extract, enrich, and act on intelligence information worldwide.

The Role

As a Lead Software Engineer, you will lead the technical execution of mission-relevant software systems that operationalize advanced analytics, machine learning, and data-processing capabilities. You will apply software and systems engineering expertise to develop scalable, secure, maintainable applications that operate in complex customer environments.

You will work with software engineers, systems engineers, researchers, and mission partners to translate customer needs into executable technical plans. You will own technical delivery for an assigned project or major subsystem, guiding architecture, implementation, integration, testing, demonstration, and transition.

What You Will Do:

- Lead project execution: Lead software development from requirements definition through implementation, integration, test, demonstration, deployment, and sustainment

- Translate mission needs into plans: Convert customer objectives into requirements, architectures, development plans, milestones, performance measures, and acceptance criteria

- Lead the technical team: Lead and mentor software engineers and collaborate with systems engineers, researchers, DevSecOps personnel, and mission partners

- Manage technical work: Decompose complex work into actionable tasks; manage dependencies, technical risks, interfaces, and progress toward program objectives

- Own project architecture: Design and oversee architectures spanning services, APIs, data pipelines, databases, ML integrations, user interfaces, and deployment infrastructure

- Drive integration and quality: Lead design reviews, code reviews, integration activities, testing, customer demonstrations, and release readiness; ensure reliability, security, maintainability, and performance

- Support growth and transition: Contribute technical content to proposals, customer engagements, and transition planning while ensuring delivered capabilities are reusable and mission relevant

Who You Are:

- Education and experience: PhD with 2+ years, MS with 6+ years, or BS with 8+ years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline