Senior Software Engineer in Chantilly, Virginia at Redhorse

About the Role

Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Software Engineer (SME) with deep technical expertise to lead complex engineering initiatives. This is a high-impact role designed for a seasoned professional who can navigate the complexities of modern software design while understanding the critical nature of government sponsor requirements. As an SME, you will not just write code; you will analyze requirements, design foundational solutions, and perform high-level synthesis of operational data to drive sound technical decisions for our nation's most vital systems.

• Apply advanced engineering principles and modern software design techniques to analyze requirements and design end-to-end solutions.
• Develop, install, and configure computer programs and supporting technologies to meet specific sponsor directions.
• Troubleshoot complex system issues by performing rigorous root-cause analysis and evaluating alternative technical approaches.
• Recommend cost-effective, high-performance courses of action for system improvements and optimizations.
• Anticipate and adapt to changing requirements and environments, assessing the impact of operational changes on overall system outcomes.
• Apply deductive and inductive reasoning to synthesize complex information and derive sound technical conclusions.
• Mentor junior and mid-level engineers in best practices for software development and system architecture.

• Ability to obtain and maintain a government security clearance (Specific level determined by project).
• 10 + years of experience in software engineering, design, and systems analysis.
• Demonstrated mastery in modern software design techniques and the full software development life cycle (SDLC).
• Extensive experience in root-cause analysis and troubleshooting complex, large-scale enterprise systems.
• Proven track record of delivering technical decisions that balance operational needs with cost-effectiveness and infrastructure constraints.