Quality Assurance Engineer

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

Benefits offered by this job

Remote flexibility

Professional development

Cross-functional collaboration

Healthcare technology impact

AI-driven testing tools

Job summary

Jobgether seeks a Quality Engineer to design and execute risk-based test strategies for complex features and architectural changes. You will develop robust automated testing frameworks, ensuring frontend and backend validation across microservices.

The role emphasizes AI-driven testing innovations, maintaining quality gates in CI/CD pipelines, and collaboration with architecture, product, and QA leadership to achieve release readiness.

Qualifications

• At least 3 years of quality engineering experience with scalable apps and distributed systems.
• Experience building and maintaining automated testing frameworks for complex software environments.
• Strong testing across modern web apps, backend logic, and microservices architectures.
• Hands-on API testing with various protocols and integrating checks into pre-deployment workflows.
• Strong debugging and scripting skills to automate test data setup and diagnose issues.

Responsibilities

• Design and execute risk-based test strategies and plans for features, releases, and architecture changes.
• Develop and scale automated testing frameworks to boost coverage and reliability across frontend/back-end services.
• Promote QA methodologies, coding standards, and release-readiness criteria across engineering teams.
• Explore AI-enabled testing tools to modernize workflows and improve efficiency.
• Maintain quality gates in pipelines and provide sign-off through system, data, and UI validation.

Skills

Test automation

Quality engineering

Front-end testing

Back-end testing

API testing

Debugging

Tools

Selenium

Postman

CI/CD pipelines

Job description

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.