Director, Software Engineering

Director of Software Engineering

Summary of Position:

• Reporting to the VP of R&amp
• D, the Director of Software Engineering leads the technical execution for enterprise application development while building &amp
• 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, &amp
• 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
• Originally posted on Himalayas