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HHAeXchange

Manager, Software Engineering

Posted 3 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The role involves leading engineering teams for HHAeXchange's platform, ensuring software delivery, quality, and operational excellence while managing staff and collaborating across departments.
The summary above was generated by AI

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.  

We are seeking a Manager, Software Engineering to join our R&D organization and lead one or more engineering teams delivering capabilities for the HHAeXchange Enterprise platform and Sandata SaaS solutions. This role focuses on day-to-day engineering execution, people leadership, and operational excellence, ensuring teams deliver high-quality, secure, reliable, and scalable software solutions

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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

Essential Job Duties

  • Own engineering delivery, maintenance, and production support for assigned product or platform areas. 
  • Deliver new features and optimize existing components with a focus on code quality, scalability, performance, security, and maintainability. 
  • Ensure effective incident response, troubleshooting, and operational execution for production systems. 
  • Lead sprint planning, prioritization, and execution to drive predictable delivery. 
  • Provide hands-on technical leadership through design reviews, code reviews, and deployment oversight. 
  • Directly manage software engineers and/or technical leads, including coaching, feedback, and career development. 
  • Partner with Product, Architecture, QA, and Operations to ensure quality, alignment, and production readiness. 
  • Support modernization initiatives, including cloud-native development and technical debt reduction. 
  • Encourage adoption of AI-assisted SDLC tools to improve engineering velocity and effectiveness while maintaining standards. 
  • Support development of AI-enabled capabilities following strong practices for quality, security, privacy, and reliability. 
  • Support recruiting, onboarding, and training of software engineering staff.

Other Job Duties

  • Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

  • Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills

  • Education: Specify the minimum education level needed (e.g., bachelor’s degree, specific certifications).
  • Own engineering delivery, maintenance, and production support for assigned product or platform areas.
  • Deliver new features and optimize existing components with focus on code quality, scalability, performance, security, and maintainability.
  • Ensure effective incident response, troubleshooting, and operational execution for production systems.
  • Lead sprint planning, prioritization, and execution to drive predictable delivery.
  • Provide hands-on technical leadership through design reviews, code reviews, and deployment oversight.
  • Directly manage software engineers and/or technical leads, including coaching, feedback, and career development.
  • Partner with Product, Architecture, QA, and Operations to ensure quality, alignment, and production readiness.
  • Support modernization initiatives, including cloud-native development and technical debt reduction.
  • Encourage adoption of AI-assisted SDLC tools to improve engineering velocity and effectiveness while maintaining standards.
  • Support development of AI-enabled capabilities following strong practices for quality, security, privacy, and reliability.
  • Support recruiting, onboarding, and training of software engineering staff.

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