Quality Assurance Engineer
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AI Summary
Design, develop, and maintain comprehensive manual and automated test frameworks to ensure software quality. Collaborate with cross-functional teams to identify defects, analyze root causes, and implement data-driven solutions throughout the development lifecycle.
Key Responsibilities
- Design, develop, execute, and maintain manual and automated test cases and test scripts.
- Perform functional, regression, API, performance, integration, and exploratory testing.
- Develop automated tests using Playwright, TypeScript, Java, k6, MCP, AI-assisted testing, and other applicable technologies.
- Translate business and functional requirements into detailed, efficient, and comprehensive test scenarios and test cases.
- Design and maintain reusable, scalable automation frameworks using data-driven, keyword-driven, hybrid, and BDD approaches.
- Integrate automated testing with Git, CI/CD pipelines, test management platforms, and other development tools.
- Use browser developer tools, application logs, HTTP requests/responses, stack traces, heap dumps, and other diagnostic tools to identify and troubleshoot defects.
- Analyze defects, determine root causes, provide detailed technical information to developers, and track issues through resolution.
- Identify quality risks early in the software development lifecycle and develop appropriate mitigation strategies.
- Design realistic performance testing scenarios, including user journeys, data parameterization, load models, and performance metrics.
- Execute predefined test cases while also conducting unscripted exploratory testing.
- Apply testing techniques such as boundary value analysis, equivalence partitioning, and risk-based testing.
- Work with relational and NoSQL databases to validate application data and test results.
- Analyze and profile production data to support test data creation and validation.
- Work with test data management and data governance platforms.
- Use tools such as Zephyr Scale, GitLab, and similar platforms for test management, defect tracking, and progress reporting.
- Identify bottlenecks, waste, process variations, and potential quality issues, and develop data-driven solutions.
- Continuously evaluate and improve QA processes, automation frameworks, tools, and testing strategies.
- Collaborate closely with software engineers, system personnel, business stakeholders, and management.
- Participate in meetings, training, Agile/Scrum ceremonies, and other team activities as required.
- Perform other duties as assigned.
Required Qualifications
- Bachelor's degree from an accredited college or university and three (3) years of relevant QA/automated testing experience; OR
- Three (3) years of experience as a Business Analyst or Software Engineer within the Colorado Judicial Department.
- Additional relevant work experience may substitute for formal education on a year-for-year basis.
Required Skills and Competencies
- Strong understanding of manual and automated testing principles.
- Proficiency in one or more programming or scripting languages.
- Hands-on experience with Playwright, TypeScript, Java, k6, or similar automation and performance-testing technologies.
- Strong understanding of test automation framework architecture and reusable framework design.
- Experience with API testing, performance testing, regression testing, and functional testing.
- Knowledge of QA standards, testing methodologies, and industry best practices.
- Strong debugging, analytical, and problem-solving skills.
- Experience with version control and CI/CD environments.
- Knowledge of relational and NoSQL databases.
- Experience with defect management and test management tools.
- Strong understanding of defect lifecycles and software development methodologies.
- Excellent communication and collaboration skills.
- Ability to proactively identify issues and quality risks early in the development lifecycle.
- Ability to adapt to changing priorities, analyze data, and adjust testing strategies when needed.
- Meticulous attention to detail and a strong commitment to software quality.
- Ability to work effectively within cross-functional teams.
Flexible work from home options available.
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