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