Director, Quality Engineering

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $175k - $195k / year

⏰ Full Time

🔴 Lead

🔧 QA Engineer (Quality Assurance)

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HHAeXchange

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Private Equity Round on 2021-09

Healthcare • Consulting • Logistics

HHAeXchange is a comprehensive homecare software solution that connects different stakeholders in the homecare industry, including providers, state Medicaid programs, managed care organizations (MCOs), and caregivers. It offers a platform that ensures efficiency, communication, transparency, and compliance in managing homecare services. With tools for EVV (Electronic Visit Verification), billing, payroll, scheduling, and a caregiver mobile app, HHAeXchange improves care outcomes and operational efficiency. The platform is secure and scalable, integrating various business functions for better visibility and efficiency, and is designed to support value-based care initiatives. HHAeXchange aims to streamline homecare service delivery, reduce errors, and enhance caregiver experiences.

📋 Description

• Develop, implement, and lead the overall quality strategy and QA operating model across the organization. • Define and enforce consistent testing approaches, including test planning, test cases, regression strategy, and release readiness criteria. • Select, implement, and manage enterprise testing tools for test management, automation, performance, accessibility, and security validation. • Drive increased automated test coverage across UI, API, mobile, and services. • Lead accessibility testing aligned to WCAG 2.1+. • Oversee VPATs and Accessibility Conformance Reports. • Partner with Product, Legal, and Compliance on accessibility requirements and audits. • Coordinate with Security teams on SAST/DAST, vulnerability validation, and remediation tracking. • Define and support customer UAT strategies and environments. • Provide test plans, data guidance, and defect triage during customer acceptance testing. • Establish and communicate quality KPIs, including defect escape rate, automation coverage, UAT outcomes, and release readiness. • Embed quality earlier in the development lifecycle through requirements, acceptance criteria, and CI/CD integration. • Oversee high-priority production and pre-production defect triage and root-cause prevention. • Collaborate with Product Management, Engineering, DevOps, Security, and Compliance. • Build, mentor, and lead a team of QA engineers, SDETs, automation engineers, and accessibility/compliance testers. • Drive continuous quality improvements and participate in release readiness and go/no-go decisions. • Help onboard team members to AI development tools and share safe, effective AI-augmented development practices. • Travel up to 10%, including overnight travel. • Perform other duties as assigned.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field required. • 10+ years of experience in software engineering within a software product company, with a focus on developing scalable, high-performance systems. • 4+ years leading QA organizations or enterprise quality programs. • Proven experience designing and implementing standardized QA processes and test automation strategies in SaaS environments. • Hands-on experience implementing automated testing frameworks integrated into CI/CD pipelines. • Experience with accessibility testing and standards such as WCAG 2.1+ and authoring VPATs/ACRs. • Experience supporting security testing practices such as vulnerability scanning, SAST/DAST, and penetration test remediation validation. • Experience supporting or running customer UAT processes. • Strong understanding of quality metrics (defect rates, coverage, MTTR, escape rate, etc.) and how to operationalize them. • Background working in cloud-based architectures and microservices environments. • Demonstrated success collaborating across engineering, product, and security teams in a fast-paced environment. • Strong leadership skills with experience managing and developing QA and automation teams. • Excellent verbal and written communication skills, including the ability to communicate complex topics to technical and non-technical partners. • Familiarity with LLM APIs, prompt engineering, and how generative AI can be applied in a product context. Direct project experience preferred.

🏖️ Benefits

• Competitive health plans • Paid time-off • Company paid holidays • 401K retirement program with a Company elected match • Other company sponsored programs • Fully remote work opportunity

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