Director, Software Engineering

🕒 il y a 11 jours

🇺🇸 États-Unis – Télétravail

💵 $189 000 - $208 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

HHAeXchange

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2008

⚕️ Assurance santé

☁️ SaaS

📋 Conformité

💰 Private Equity Round en 2021-09

Healthcare Insurance • SaaS • Compliance

HHAeXchange est une solution logicielle complète pour les soins à domicile qui connecte différents acteurs de l'industrie des soins à domicile, y compris les prestataires, les programmes Medicaid des États, les organisations de soins gérés (MCOs) et les soignants. Elle offre une plateforme qui garantit l'efficacité, la communication, la transparence et la conformité dans la gestion des services de soins à domicile. Avec des outils pour la vérification des visites électroniques (EVV), la facturation, la paie, la planification et une application mobile pour les soignants, HHAeXchange améliore les résultats des soins et l'efficacité opérationnelle. La plateforme est sécurisée et évolutive, intégrant diverses fonctions commerciales pour une meilleure visibilité et efficacité, et est conçue pour soutenir les initiatives de soins basées sur la valeur. HHAeXchange vise à rationaliser la prestation des services de soins à domicile, réduire les erreurs et améliorer l'expérience des soignants.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• competitive health plans • paid time-off • company paid holidays • 401K retirement program with a Company elected match • other company sponsored programs