Quality Assurance Engineer

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Quality Assurance Engineer based in the United States.

Join a growing healthcare technology organization dedicated to improving patient outcomes through innovative medication management solutions powered by AI, machine learning, and clinical expertise. As a Quality Assurance Engineer, you will play a key role in ensuring the reliability, performance, and security of software applications that support better healthcare decisions. You will develop and scale automated testing frameworks, strengthen end-to-end quality practices, and help prevent defects before they reach production. Working closely with engineering, product, and QA leadership, you will contribute to a proactive, data-driven quality culture. This role offers the opportunity to influence testing strategies, explore AI-powered quality tools, and solve complex technical challenges across distributed systems. If you are passionate about software reliability and meaningful healthcare innovation, this is an opportunity to make a measurable impact.

Accountabilities

Test Strategy and Execution: Design and execute comprehensive, risk-based test strategies and plans for complex product features, system releases, and architectural changes, ensuring applications meet functional and technical requirements.
Test Automation: Develop, maintain, and scale robust automated testing frameworks to increase test coverage, improve repeatability, and support reliable validation across frontend interfaces and backend services.
Quality Engineering Practices: Promote standardized testing methodologies, coding standards, quality policies, and release-readiness criteria across engineering teams, incorporating shift-left testing practices throughout the development lifecycle.
AI-Driven Testing Innovation: Explore and implement AI-enabled tools and techniques to modernize testing workflows, improve efficiency, and strengthen quality engineering capabilities.
Quality Gates and Release Assurance: Maintain automated quality gates within development pipelines, prevent regressions, and provide primary quality sign-off through comprehensive system, data, and user-interface validation.
Technical Investigation and Debugging: Analyze system logs, investigate complex defects, perform root cause analysis, develop diagnostic scripts, and conduct system integrity checks across distributed environments.
Performance and Security Testing: Contribute to performance engineering, load testing, and security scanning activities to help identify vulnerabilities, scalability constraints, and reliability risks.
Defect Management: Document, prioritize, and track high-impact defects, collaborating with development teams to ensure timely resolution and prevent recurring issues.
Cross-Functional Collaboration: Partner with engineering architects, product managers, QA leadership, and other engineers to translate business requirements into measurable acceptance criteria and effective testing approaches.
Continuous Improvement: Identify testing gaps and systemic quality challenges, participate in code reviews, share technical expertise, and recommend improvements to testing tools, processes, and engineering standards.
Quality Communication: Clearly communicate testing results, release risks, technical findings, and recommendations to engineering teams and relevant stakeholders.
Requirements
Professional Experience: At least 3 years of specialized quality engineering experience, particularly with scalable applications, distributed systems, and enterprise-level test automation.
Test Automation Expertise: Demonstrated experience building, maintaining, and improving automated testing frameworks for complex software environments.
Frontend and Backend Testing: Strong capabilities in testing modern web applications, validating backend business logic, and working with microservices architectures.
API Testing: Hands-on experience with different API protocols and testing methodologies, including integrating automated checks into pre-deployment workflows.
Programming and Scripting: Strong debugging and scripting skills, with the ability to automate test data setup, validate complex workflows, investigate system logs, and develop diagnostic tools.
Quality Methodologies: Solid understanding of modern QA practices, including risk-based testing, Behavior-Driven Development (BDD), defect triage, and Agile/Scrum development processes.
Performance and Security: Familiarity with performance engineering, load testing, security scanning, and the implications of cloud infrastructure for deployment and testing strategies.
Observability and Troubleshooting: Experience using observability tools and tracing defects across distributed systems to identify root causes and maintain system integrity.
Strategic Thinking: Ability to turn ambiguous business requirements into precise test plans, measurable acceptance criteria, and comprehensive validation strategies.
Communication and Collaboration: Strong written and verbal communication skills, with the ability to explain technical quality risks and findings to engineers, product stakeholders, and leadership.
Ownership and Initiative: Ability to work independently, proactively challenge unclear requirements, communicate progress and blockers, and take responsibility for assigned deliverables.
Work Authorization: Must reside in the United States, be legally eligible to work in the country, and successfully pass a background check.
Remote Work Setup: Must have a dedicated, private workspace and reliable, low-latency internet suitable for uninterrupted video calls and daily remote work.
On-Site Availability: Although the position is remote, candidates must be able to attend occasional in-person meetings throughout the year, including potential interview, onboarding, and team collaboration sessions.
Information Security: Willingness to complete required information security and HIPAA training and follow policies designed to protect confidential information and sensitive healthcare data.
Benefits
Competitive Salary: Annual salary range of $120,000–$130,000, depending on experience, job level, location, and other relevant qualifications.
Remote Flexibility: Work remotely from within the United States, with occasional in-person meetings required.
Professional Development: Opportunities to learn, grow, and contribute to the evolution of quality engineering practices in a growing healthcare technology environment.
Cross-Functional Collaboration: Work closely with experienced clinicians, software engineers, architects, and digital health professionals.
Meaningful Impact: Contribute to technology designed to improve medication safety, healthcare quality, and patient outcomes.
Innovation and Technical Ownership: Help shape testing strategy, scale automation frameworks, and explore emerging AI-driven quality engineering tools.
Compensation Opportunities: The stated salary range represents base compensation and excludes any additional compensation, benefits, or perks that may be offered.
Inclusive Workplace: Join an organization committed to equal employment opportunities, diversity, fairness, and respect.
Security and Compliance Training: Access role-specific information security and HIPAA training to support responsible handling of sensitive data.