Quality Assurance Engineer

Jobgether; United States; Remote; USD 120,000 - 130,000; Full time

Benefits offered by this job

Remote flexibility within the United  

Occasional in-person meetings in the U

Professional development opportunities

Cross-functional collaboration

Meaningful healthcare impact

Innovation and technical ownership

Job summary

Jobgether is seeking a Quality Assurance Engineer in the United States to join a growing healthcare tech organization focused on AI-driven medication management. You will design risk-based test strategies, develop automation for frontend and backend, and lead quality practices across distributed systems to ensure reliable software and secure, scalable deployments.

You will collaborate with engineering, product, and QA leadership to implement AI-enabled testing, establish quality gates in

Qualifications

• At least 3 years of specialized quality engineering experience.
• Experience with scalable applications and distributed systems.
• Strong API testing and test automation skills.
• Frontend and backend testing for modern web apps.
• Proficient in debugging, scripting, and diagnostic tools.
• Familiarity with QA methodologies (BDD, Agile/Scrum).
• Experience with performance and security testing.
• Ability to turn requirements into precise test plans and acceptance criteria.
• Excellent communication and collaboration skills.

Responsibilities

• Design and execute risk-based test strategies for product features and releases.
• Develop, maintain, and scale automated testing frameworks for frontend and backend.
• Promote standardized testing methodologies and release-readiness criteria.
• Explore AI-enabled testing tools to modernize workflows.
• Maintain automated quality gates in pipelines and provide quality sign-off.
• Analyze logs, investigate defects, perform root cause analysis.
• Contribute to performance engineering, load testing, and security scanning.
• Document, prioritize, and track high-impact defects.
• Collaborate with architects, product managers, QA leadership to define acceptance criteria.
• Identify testing gaps and drive tool/process improvements.
• Clearly communicate results and risks to teams and stakeholders.

Job description

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.