Quality Assurance Engineer

Note : Candidate Must Be Local Denver , Colorado

Description

• Strong foundational knowledge of manual testing principles, including test case design, types of testing (functional, regression, API, performance), and defect management.
• 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.