Senior Software Architect

TechFlow is seeking an experienced Senior Software Architect / Lead Software Engineer to support a mission-critical DoD software development and modernization program in Montgomery, AL. This program provides software development and technical support services to sustain, enhance, and optimize a critical customer system through secure, scalable, and maintainable software solutions.

The successful candidate will lead the architectural design and development of modern software capabilities while ensuring solutions are built using nonproprietary, open‑standard technologies that support scalability, maintainability, reliability, and long‑term mission success. This role will provide technical leadership across the software development lifecycle, collaborating with software engineers, DevSecOps professionals, testers, database administrators, and Agile team members to deliver high‑quality, secure software solutions.

Key Responsibilities

• Lead the architectural design and technical implementation of scalable, maintainable, reliable, and secure software solutions using open‑standard technologies.
• Develop and maintain software solutions using modern Java enterprise development practices and industry‑standard frameworks.
• Design, develop, test, and maintain clean, efficient, secure source code within Government‑owned Git repositories.
• Provide technical leadership and guidance to software development teams, promoting best practices in architecture, coding standards, and secure development.
• Participate in and conduct mandatory peer code reviews to ensure software quality, maintainability, and adherence to established standards.
• Ensure software meets automated quality and security requirements through continuous integration, automated testing, and Static Application Security Testing (SAST).
• Analyze and remediate software vulnerabilities, ensuring all new Blocker, Critical, and High security findings are addressed prior to task completion.
• Identify, evaluate, and execute technical debt remediation efforts based on Government priorities.
• Maintain and improve software quality metrics, including: minimum 90% automated test coverage for new code, overall SonarQube code quality rating of "A", inline documentation for at least 90% of individual methods using tool‑compatible formats.
• Collaborate with cybersecurity teams to ensure compliance with DoD Risk Management Framework (RMF) processes and Security Technical Implementation Guide (STIG) requirements.
• Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low‑code/no‑code platforms, and AI‑assisted software development tools.
• Mentor software engineers and promote adoption of modern development practices, tools, and technologies.
• Support continuous improvement initiatives focused on software quality, performance, security, and mission effectiveness.

Qualifications

• Bachelor's degree (or equivalent experience) in Computer Science, Information Technology, Engineering or related field.
• Minimum 7 years of experience developing Java enterprise applications.
• Strong experience with: Java enterprise application development, Spring Boot, RESTful APIs and Microservices architectures.
• Experience with software quality and security tools, including: SonarQube, GitLab CI/CD, Static Application Security and Testing (SAST) tools.
• Experience developing secure software solutions within a DevSecOps environment.
• Familiarity with Web Content Accessibility Guidelines (WCAG) 2.1 AA standards.
• Experience supporting DoD cybersecurity requirements, including Risk Management Framework (RMF) and STIG compliance.
• Strong understanding of software architecture, design patterns, secure coding practices, and modern development methodologies.
• Active Secret Security Clearance.

Preferred Qualifications

• Experience supporting DoD software modernization programs.
• Experience with U.S. Air Force or other DoD mission applications.
• Demonstrated experience integrating artificial intelligence/machine learning capabilities into software solutions.
• Experience using AI‑assisted development tools to improve software engineering efficiency.
• Experience with cloud‑native architectures and DevSecOps practices.
• Experience mentoring and leading software engineering teams.
• Familiarity with Agile software development methodologies and Scrum practices.