Quality Assurance Engineer

Decca Consulting•Denver, CO

3d•Remote

About The Position

This role focuses on designing, developing, executing, and maintaining manual and automated test cases and scripts. The Quality Assurance Engineer will perform various types of testing including functional, regression, API, performance, integration, and exploratory testing. A key aspect of the role involves developing automated tests using technologies such as Playwright, TypeScript, Java, k6, MCP, and AI-assisted testing. The engineer will translate business and functional requirements into detailed test scenarios and cases, and design/maintain reusable, scalable automation frameworks. Integration with CI/CD pipelines and version control systems is also a significant part of the responsibilities. The role requires strong debugging skills using various diagnostic tools and analyzing defects to determine root causes. Identifying quality risks early in the SDLC and developing mitigation strategies is crucial. Performance testing scenario design, execution of predefined and exploratory tests, and working with databases for data validation are also key duties. The engineer will also be involved in test data management, using tools like Zephyr Scale and GitLab, and continuously improving QA processes. Collaboration with cross-functional teams, including software engineers and business stakeholders, is essential. The position also includes other duties as assigned.

Requirements

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.
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.

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.