Quality Assurance Engineer

Client Note: Tools are listed in the description: The technical skill to write, run, and maintain automated test scripts (Playwright, TypeScript, Java, k6, MCP, AI-assisted testing, and others). Proficiency in using developer tools, reading error logs, and tracing the source of an issue to provide detailed information to developers (Google DevTools, application logs, HTTP requests/responses, stack traces, heap dumps, etc.). Competency with test management tools (Zephyr Scale, GitLab, etc.) for logging bugs and tracking test progress.

The technical skill to write, run, and maintain automated test scripts (Playwright, TypeScript, Java, k6, MCP, AI-assisted testing, and others).

Proficiency in using developer tools, reading error logs, and tracing the source of an issue to provide detailed information to developers (Google DevTools, application logs, HTTP requests/responses, stack traces, heap dumps, etc.).

Proficiency in translating high-level business and functional requirements into detailed, efficient, and comprehensive test cases.

Knowledge of industry-wide quality assurance measures, testing standards, and current best practices.

Knowledge of identifying potential quality risks, assessing their impact and likelihood, and formulating effective mitigation strategies.

The ability to be proactive in identifying potential issues early in the development lifecycle rather than reactively finding them later.

Excellent communication skills to collaborate effectively with software engineers, system personnel, and management.

Extensive knowledge of various test automation tools and framework architectures (data-driven, keyword-driven, hybrid, BDD).

The technical skill to design, implement, and improve custom, enterprise-wide, and reusable automation frameworks.

The ability to adapt to new challenges, pivot strategies when data suggests a different path, and remain resilient in the face of setbacks is key to long-term success.

Excellent debugging and problem-solving skills.

The practical skill of integrating automated tests with various systems like version control, CI/CD pipelines, and test management tools.

Competency with test management tools (Zephyr Scale, GitLab, etc.) for logging bugs and tracking test progress.

Knowledge of various database systems, including relational databases and NoSQL databases.

Experience with specialized test data management and data governance platforms.

The ability to analyze test requirements and profile existing production data.

A deep understanding of core testing principles is paramount, including test case design techniques (boundary value analysis, equivalence partitioning), defect lifecycles, and how testing integrates into various methodologies.

The technical skill to design realistic performance test scenarios, which involves scripting user journeys, parameterizing data, and creating load models

The ability to systematically break down complex processes,

Proficiency in one or more programming or scripting languages.

 identify bottlenecks, waste, and variation, and then develop innovative, data-driven solutions is a core skill.

The ability to execute predefined test cases and also perform unscripted exploratory testing.

Proficiency in translating high-level business and functional requirements into detailed, efficient, and comprehensive test cases.

Knowledge of industry-wide quality assurance measures, testing standards, and current best practices.

Knowledge of identifying potential quality risks, assessing their impact and likelihood, and formulating effective mitigation strategies.

The ability to be proactive in identifying potential issues early in the development lifecycle rather than reactively finding them later.

Excellent communication skills to collaborate effectively with software engineers, system personnel, and management.

Excellent debugging and problem-solving skills

Attends meetings and training as required.

Performs other duties as assigned.

Meticulous attention to detail is critical.

The ability to work effectively within cross-functional teams.

Graduation from an accredited college or university with a bachelor's degree and three years of relevant quality assurance/automated testing experience; or three years of experience as a Business Analyst or Software Engineer in the Colorado Judicial Department.

OR

Three years of relevant quality assurance/automated testing experience; or three years of experience as a Business Analyst or Software Engineer within the Colorado Judicial Department.  Additional work experience in these or other related fields may be substituted on a year-for-year basis for the required formal education.