Director, Software Engineering

HHAeXchange is one of the healthcare industry’s fastest-growing healthcare software solution providers. They are seeking a Director of Software Engineering to lead engineering teams and ensure the delivery of high-quality software solutions while driving modernization and platform evolution.

Responsibilities:

• Own engineering delivery, maintenance, and production operations responsibilities for assigned areas across the HHAeXchange SaaS platforms
• Deliver new features and optimize existing components with focus on code quality, scalability, performance, security, stability, and maintainability
• Ensure effective incident response, troubleshooting, and operational execution for production systems
• Establish clear accountability and execution standards across engineering teams
• Provide leadership across multiple engineering teams, including engineering managers, tech leads, and individual contributors
• Drive predictable delivery through strong planning, prioritization, and execution discipline
• Set expectations for performance and accountability across teams
• Coach leaders and engineers through mentorship, feedback, and professional development
• Drive modernization and platform evolution, including cloud and architectural improvements
• Advance cloud-native principles and best practices in new development and enhancements
• Partner with architecture leadership to ensure system designs meet enterprise standards
• Promote continuous improvement through refactoring, technical debt reduction, and platform upgrades
• Lead engineering governance and operational readiness, ensuring consistency and quality across releases
• Participate in or support architecture review and design review processes
• Ensure proper release planning, change management, and production readiness practices
• Establish effective standards for deployment quality, rollback readiness, and operational support coverage
• Drive development and adoption of AI-enabled capabilities across the HHAeXchange SaaS platforms
• Partner with Product, Architecture, and Data/AI stakeholders to identify and deliver high-impact AI use cases that improve operational efficiency, compliance, and customer outcomes
• Ensure AI features are built with strong standards for quality, performance, security, privacy, and reliability
• Lead adoption of AI-assisted SDLC tools and practices to improve engineering velocity and effectiveness (e.g., Cursor and other modern AI coding tools)
• Establish best practices, guardrails, and repeatable workflows for AI-supported development, testing, code review, and documentation
• Measure and improve productivity and quality outcomes through responsible use of AI tooling while maintaining engineering standards and maintainability
• Work closely with VP, Software Engineering and CTO to formulate strategies and execute the vision
• Collaborate with Product Managers on future product strategy
• Collaborate and work with the team with a positive and open-minded attitude
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members
• Enable automation of configuration management of development, quality assurance, and production environments as well as automation of continuous integration and continuous delivery
• Supervise training and development of software engineering staff
• Support recruiting engineering personnel, technical staffing, and project teams’ formation

Requirements:

• 10+ years of experience in developing, deploying, monitoring, and supporting applications
• Minimal 5+ years of experience in a leadership position managing highly skilled software development teams across US and around the globe
• Proven experience leading development of AI-enabled software products, including applying machine learning, automation, or intelligent decisioning to enterprise SaaS platforms
• Experience driving adoption of AI-assisted software development lifecycle (SDLC) tools to improve engineering productivity, quality, and delivery speed (e.g., AI-powered coding, testing, and documentation tools such as Cursor or similar platforms)
• Strong understanding of responsible AI practices, including quality, security, privacy, explainability, and maintainability considerations in production systems
• Strong requirements gathering, analysis, and questioning skills
• Strong understanding of software engineering best practices including design, development, testing, release, and operational support
• Experience leading teams that support business-critical enterprise SaaS systems (e.g., healthcare platforms, billing, ERP, workflow systems)
• Ability to review and guide engineering execution across designs, code quality, production deployments, performance, and stability improvements
• Familiarity with modern architecture and operational practices including API and service-based architecture, cloud infrastructure, and incident response
• Extensive experience with .NET, Angular, Web Services/APIs, and SQL Server (or comparable enterprise SaaS technology stacks)
• Experience with containerization and orchestration technologies such as Docker and Kubernetes (or equivalent platforms)
• Experience with AWS cloud services. AWS certification is a plus
• Excellent communication skills and ability to drive outcomes across engineering and cross-functional partners
• Proven ability to lead through ambiguity, manage competing priorities, and deliver predictable results
• Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role