Hhaexchange3mo ago

Director, Software Engineering

United StatesRemoteFull Timeexecutive

OtherSoftware EngineerDirectorSoftware Engineering

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Overview

HHAeXchange is one of the healthcare industry’s fastest-growing healthcare software solution providers. Founded by professionals with deep experience in software development and healthcare, our platforms support post-acute payers and providers seeking innovative yet cost-effective ways to deliver…

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We are seeking a Director of Software Engineering to join our R&D organization and provide leadership across teams delivering capabilities for both the HHAeXchange Enterprise platform and Sandata SaaS solutions. This role is responsible for ensuring teams execute consistently across engineering delivery, quality, security, performance, reliability, and production operations. The Director will partner closely with Product, Architecture, QA, and Operations leadership to deliver scalable outcomes while continuously improving platform stability and engineering effectiveness.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.

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.

Other duties as assigned by supervisor or HHA exchange leader.

Travel up to 10%, including overnight travel

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