HHAeXchange
SaaS
Director,SoftwareEngineering
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“Director, Software Engineering at HHAeXchange. Skills: Software Engineering Leadership, AI/ML Product Development, Cloud Architecture, SaaS Platforms. Own engineering delivery, maintenance, and production operations. Deliver new features and optimize existing components”
What You'll Achieve.
Deliver new features; Optimize existing components; Ensure effective incident response; Drive predictable delivery; Set expectations for performance and accountability; Advance cloud-native principles; Promote continuous improvement; Ensure consistency and quality across releases; Ensure proper release planning; Ensure AI features are built with standards; Improve engineering velocity and effectiveness; Measure and improve productivity and quality outcomes; Execute the vision
Industry & Context.
Troubleshooting; Incident response; Problem-solving
Travel up to 10%, including overnight travel
What They're Looking For.
Must Have
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, understanding of responsible AI practices, including quality, security, privacy, explainability, and maintainability considerations in production systems, requirements gathering, analysis, and questioning skills, understanding of software engineering best practices including design, development, testing, release, and operational support, Experience leading teams that support business-critical enterprise SaaS 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, 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
Nice to Have
AWS certification is a plus
What You'll Do.
Own engineering delivery
and production operations
Deliver new features and optimize existing components
Ensure effective incident response
and operational execution
Establish clear accountability and execution standards
Provide leadership across multiple engineering teams
Drive predictable delivery through planning
and execution discipline
Set expectations for performance and accountability
Coach leaders and engineers through mentorship
and professional development
Drive modernization and platform evolution
Advance cloud-native principles and best practices
Partner with architecture leadership
Promote continuous improvement through refactoring
Lead engineering governance and operational readiness
Participate in architecture review and design review processes
Ensure proper release planning
and production readiness
Establish effective standards for deployment quality
Drive development and adoption of AI-enabled capabilities
and Data/AI stakeholders
Ensure AI features are built with standards
Lead adoption of AI-assisted SDLC tools
Establish best practices
and repeatable workflows for AI-supported development
Measure and improve productivity and quality outcomes
Software Engineering and CTO
Collaborate with Product Managers on future product strategy
Collaborate and work with the team
Share domain and technical expertise
Enable automation of configuration management
Supervise training and development of software engineering staff
Support recruiting engineering personnel
How You'll Work.
Team & Collaboration
Provide leadership across multiple engineering teams; Partner with architecture leadership; Partner with Product, Architecture, and Data/AI stakeholders; Collaborate with Product Managers; 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; Drive outcomes across engineering and cross-functional partners
Communication Scope
Excellent communication skills
Process & Methodology
Planning, Prioritization, Execution discipline, Release planning, Change management
Full Job Description
## Essential Job Duties 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 rel
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