Senior Automation QC Engineer

BlackStone eIT

About The Position

A Senior QC Engineer is a hands-on quality control professional responsible for performing manual, automation, API, and performance testing to ensure high-quality software delivery. The role involves designing and executing test strategies, developing and maintaining automation scripts, utilizing AI-assisted testing tools to improve efficiency, preparing testing artifacts, and supporting successful product releases. This full-time position reports to the QC Lead or Quality Manager and is ideal for technically skilled professionals who enjoy problem-solving, adopting modern testing practices, and working in fast-paced, collaborative environments.

Requirements

Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent education and work experience.
6+ years of hands-on experience in software quality control/testing.
5+ years of hands-on experience in manual testing (functional, regression, integration, end-to-end).
2+ years of hands-on experience in test automation (framework development, scripting, CI/CD integration).
Professional certification such as ISTQB-CTFL or ISTQB-CTAL.
Proven hands-on experience executing both manual testing (functional, regression, integration, end-to-end) and test automation (framework development, scripting, CI/CD integration).
Proficiency in test automation tools and frameworks (e.g., Selenium, Cypress, Appium, TestNG, JUnit, or similar) with the ability to write, debug, and maintain automation code.
Proficiency in performance testing tools and frameworks (e.g., JMeter, LoadRunner, Gatling, k6, or similar) with the ability to design, execute, analyze, and optimize performance test scenarios.
Demonstrated experience preparing and delivering complete testing artifacts (test plans, test cases, traceability matrices, defect reports, test summary reports).
Track record of owning UAT cycles and driving them to successful completion.
Strong problem-solving skills with the ability to personally identify bugs, analyse root causes, and drive resolution.
In-depth knowledge of testing methodologies, phases, and approaches, including functional, regression, integration, performance, and end-to-end testing.
Strong teamwork and communication skills, with the ability to collaborate effectively with QC, development, and business groups.
Ability to multi-task, triage issues, react well to changes, and work independently or in a team setting in a fast-paced environment.
Excellent command of written and spoken English.

Responsibilities

Design, write, and execute manual test cases, test scenarios, and test scripts covering functional, regression, integration, end-to-end, API, and performance testing.
Perform exploratory, smoke, and sanity testing to validate application builds before release.
Execute planned test cycles, document test results, log and manage defects with clear reproduction steps, and verify software fixes through regression testing.
Develop, maintain, and execute automated test scripts and contribute to the continuous improvement of automation frameworks.
Enhance test coverage by maintaining automation suites and integrating automated tests into CI/CD pipelines where applicable.
Review, debug, and optimize automation scripts to improve reliability and execution efficiency.
Design, execute, and analyze performance, load, stress, endurance, and scalability tests to evaluate system reliability, responsiveness, and stability under varying workloads.
Identify, analyze, and report performance bottlenecks while collaborating with development and infrastructure teams to recommend and validate performance improvements.
Monitor performance test results and provide recommendations to improve application scalability and user experience.
Utilize AI-powered tools to accelerate test case generation, automation scripting, test data creation, defect analysis, and testing documentation while validating the accuracy and quality of AI-generated outputs.
Evaluate and adopt AI-assisted testing techniques to improve testing effectiveness, productivity, and software quality.
Apply AI tools responsibly to enhance test coverage, identify potential risks, and optimize testing workflows.
Prepare, maintain, and deliver testing artifacts, including test plans, test cases, test data, traceability matrices, test execution reports, defect reports, and test summary reports.
Provide accurate testing status updates, quality metrics, defect summaries, and risk assessments to project stakeholders.
Support User Acceptance Testing by preparing test cases, assisting with test environments, coordinating with stakeholders, executing UAT scenarios, and validating business requirements.
Ensure UAT activities are completed successfully before production release.
Investigate, identify, and document root causes of software defects while collaborating with development teams to support timely resolution.
Assist developers in reproducing and validating reported issues within test environments.
Analyze recurring defects and recommend preventive quality improvements.
Review business and functional requirements to ensure completeness, testability, and adequate test coverage.
Participate in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, test planning, execution, validation, and release activities.
Mentor and provide technical guidance to junior and mid-level QC engineers on testing best practices, automation techniques, AI-assisted testing tools, and quality processes.
Collaborate closely with development, product, business, and infrastructure teams to ensure high-quality software delivery.
Contribute to improving testing methodologies, quality standards, templates, automation practices, AI-enabled quality engineering processes, and performance testing strategies.
Identify opportunities for process improvement and recommend solutions to improve product quality and testing efficiency.
Perform other duties as assigned.