Description

Responsibilities

• Develop and maintain automated test frameworks for web, mobile, and desktop applications.
• Write and execute test cases for functional, regression, performance, and API testing.
• Collaborate with developers and QA teams to define test scenarios, ensure comprehensive coverage, and integrate automated tests into CI/CD pipelines.
• Identify, report, and help resolve defects in software applications.
• Enhance software performance and reliability by reviewing code, debugging, and suggesting improvements.
• Research and implement new testing tools and methodologies to improve efficiency and maintainability.
• Contribute to test strategy and planning, including determining unit, integration, and end-to-end test coverage.

Primary Skills

• 08- 10 years of professional experience in QA.
• Programming proficiency in languages such as Java, C#, Python, or JavaScript.
• Experience with test automation tools and frameworks (e.g., Selenium, Appium, JUnit, TestNG).
• Understanding of Agile methodologies and test-driven development (TDD).
• Strong analytical and problem-solving skills to identify defects and optimize test coverage.
• Soft skills including communication, collaboration, and time management.

Secondary skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related technical discipline.
• Strong communication skills with the ability to build partnerships with stakeholders.
• Comfortable with 3 days/ week working from Office (WFO).
• AI experience - if it is relevant and shows interesting/inventive use of GenAI or agentic solutions.
  experience building test frameworks running on a pipeline.
• Decent SQL skills.
• Keen to hear how they have worked in a complex,
• Established landscape - how do they handle it when there is massive amounts to learn and need to get up to speed fast.
• Describe cases where they have stepped in and taken over testing for an area, in this case a specific region/region.
• Good quality engineering talent who isn't afraid to deal with the scrappy manual process.
• Work hard to learn what's needed and then use engineering to code their way out of the situation

Key Skills

Education

Bachelor's or Master's degrees