Director, Software Engineering

Director of Software Engineering

Summary of Position:

Reporting to the VP of R&D, the Director of Software Engineering leads the technical execution for enterprise application development while building & nurturing high-performing engineering teams. This role combines tactical leadership with hands-on technical contribution, requiring 20% individual contributor work alongside mentoring their development team. The ideal candidate is passionate about modern AI-driven development practices, AI-driven productivity, and creating environments where engineers thrive through empathy, shared understanding, & continuous growth.

Duties & Responsibilities:

• Design and evolve AI native, cloud first architectures for complex enterprise systems, balancing speed, correctness, security, and compliance
• Contribute production code and reviews in C#/.NET, React/TypeScript, and SQL Server, modeling AI assisted development practices
• Lead architecture, code, and specification reviews with a focus on decision quality over task throughput
• Establish and continuously refine CI/CD, automated testing, security scanning ensuring AI generated artifacts meet enterprise standards
• Own and operationalize an AI first engineering model where AI generates specifications, tests, and code—and humans provide intent, judgment, and approval
• Champion AI native workflows (e.g., Claude Code, agent based development, intelligent testing, AI assisted code review) as default practice, not experimentation
• Ensure AI usage is safe, compliant, and production grade, especially in regulated healthcare environments
• Continuously evolve prompts, agent constraints, review patterns, and engineering standards to improve specification yield, decision latency, and quality outcomes
• Foster a culture of empathy, shared understanding, & continuous learning through regular 1:1s, career development planning, effective communication, knowledge sharing & skills assessment
• Create growth pathways for junior developers, senior engineers, & emerging technical leaders
• Implement modern management practices including outcome-based goal setting.
• Build & scale development teams of 10+ developers + near or offshore contractors.
• Owns branching, feature flags, and release cadence; drives changes through environments, presents at CAB, and coordinates with Infra/QA/Data/Security to ensure prompt delivery of value.
• Drive predictable delivery using flow and quality metrics (e.g., throughput, code quality, intent) rather than activity based measures
• Ensure board hygiene, visible ownership of decisions, and fast resolution of blockers across teams
• Partner with QA, Product, & Infrastructure teams to ensure seamless delivery & operational excellence
• Advocate for engineering needs while maintaining business alignment
• Promote inclusive, innovative engineering culture that attracts & retains top talent

Minimum Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field (required)
• 10+ years of software engineering experience, including 2+ years in engineering management or senior technical leadership
• Proven success delivering complex, enterprise scale applications in regulated environments (healthcare strongly preferred)
• Strong hands on full stack expertise with C#/.NET, React/TypeScript, and SQL Server
• Deep experience with Azure cloud services, containerization, CI/CD, and modern release practices
• AI native engineering leader with demonstrated experience embedding AI assisted specification, test generation, implementation, and code review into daily development workflows
• Ability to operationalize AI first or AI augmented development models, ensuring speed, quality, security, and compliance coexist
• Strong understanding of secure coding practices, OWASP standards, compliance, and governance in enterprise environments
• Proven ability to lead multiple concurrent initiatives while managing complex cross functional stakeholder relationships
• Effective people leader with a track record of mentoring, developing talent, and building high performing engineering teams
• High emotional intelligence, demonstrating empathy, active listening, conflict resolution, and trust based leadership
• Clear and confident communicator, able to translate complex technical and architectural concepts for both technical and executive audiences
• Execution oriented, hands on leader who balances strategic vision with personal technical contribution and delivery accountability
• Entrepreneurial, resilient mindset with the ability to navigate ambiguity, prioritize competing demands, and remain focused on outcomes
• Strong sense of ownership, integrity, and professionalism; trusted advisor to peers and senior leadership
• Commitment to continuous learning and staying current with AI driven development practices and emerging technologies
• Willingness to travel up to 15% for team collaboration, planning, or industry engagement