Lead Quality Engineer

Lead Quality Engineer

Quantum Health is seeking a Lead Quality Engineer to support our Client Analytics Platform, a cloud-based product that enables clients to access critical healthcare insights through reporting, dashboards, and analytical applications. The platform combines modern application technologies, APIs, and data services to deliver trusted information that helps clients understand performance, outcomes, and trends.

As the Lead Quality Engineer for the platform, you will be responsible for defining quality strategy, designing automated testing solutions, and establishing engineering practices that ensure the accuracy, reliability, and performance of both application and data-driven experiences. You will work across frontend applications, backend services, reporting tools, and data platforms while partnering closely with Engineering, Product, and Analytics teams.

This is a hands-on leadership role for an engineer who is passionate about automation, quality-by-design, and delivering high-quality analytics products ation:
This position is located at our Dublin, OH campus with hybrid flexibility or may work remotely anywhere in the United States of America.

• Define and execute the quality engineering strategy for the Client Analytics Platform.
• Establish quality standards, testing methodologies, and best practices across the product team.
• Champion a quality-first mindset throughout the software development lifecycle.
• Provide technical leadership and mentorship on quality engineering practices, test automation, and release readiness.
• Drive continuous improvement initiatives that enhance product reliability, performance, scalability, and maintainability.

• Design, develop, and maintain scalable automated testing frameworks for modern web applications, APIs, and data-driven platforms.
• Build automated functional, integration, regression, and end-to-end test suites supporting applications developed with JavaScript, Type Script, Vue.js,.NET, Java, and Python technologies.
• Partner with engineering teams to implement automated quality controls within CI/CD pipelines and cloud-native environments.
• Develop systems and processes to capture, monitor, and report automated testing results and quality metrics.
• Identify opportunities to improve test coverage, automation efficiency, and engineering productivity through tooling and process improvements.

• Partner with Engineering, Product, Analytics, and business stakeholders to understand requirements and define quality expectations.
• Participate in architecture, design, and solution discussions to ensure applications are scalable, testable, and maintainable.
• Collaborate with teams building reporting, analytics, and data solutions leveraging Snowflake, PostgreSQL, AWS Quick Sight, and other data platform technologies.
• Communicate quality trends, risks, and recommendations to engineering leadership and business partners.

• Establish release readiness criteria and quality gates for production deployments.
• Measure, monitor, and report on product quality, performance, and reliability.
• Identify areas of risk and implement mitigation strategies to improve platform stability and user experience.
• Ensure new features and enhancements meet established quality standards prior to production release.
• All other duties as assigned.

• Education:
  
  Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related technical field, or equivalent experience.
• Experience:
  
  7+ years of experience in software engineering, software quality engineering, or test automation roles.
• Experience designing, implementing, and maintaining automated testing frameworks for web applications, APIs, and distributed systems.
• Demonstrated experience developing automated tests for applications built with modern technologies such as JavaScript/Type Script, .NET, Java, or Python.
• Strong experience testing REST APIs, backend services, and data-driven applications.
• Experience working with cloud-native applications and services, preferably within AWS environments.
• Experience validating data quality and testing solutions that utilize relational databases and analytical data platforms such as PostgreSQL, Snowflake, or similar technologies.
• Experience implementing automated testing within CI/CD pipelines and modern software delivery practices.
• Strong understanding of Agile development methodologies, software development lifecycle practices, and quality engineering principles.
• Experience leading quality initiatives, influencing engineering practices, and mentoring team members.
• Strong analytical, problem-solving, and communication skills.
• Excellent communication and collaboration skills with technical and non-technical stakeholders.
• Demonstrated leadership, program management, and strategic planning capabilities.
• A high degree of personal accountability and…