Job description for LEAD QA CONSULTANT (AUTOMATION) at Pt. Jaya Agung Teknologi
JOB DESCRIPTION :
- Contribute to impactful projects from start to finish
- Able to develop integration test plans which include regression testing and packaging of tests into consecutive steps based on logical dependencies to ensure quality delivery. Assist in the development of functional integration test plans used to verify that a specific system functions according to actual requirements and established guidelines.
- Execute defined test cases; validate, capture and document expected and unexpected results; identify issues, risks, gaps, the end-user experience and opportunities for improvement; escalate issues appropriately. The solution should be tested in terms of functionality, performance, reliability, stability, and compatibility with other legacy and/or external systems.
- Work with the Software Development team to provide guidelines, procedures and tools for QA and change management to include: documentation, test plans, test scripts, integration plans, acceptance procedures, and recovery procedures.
- Enforce IT system development standards (SDLC) that include documentation, test plans, implementation plans, and back out procedures.
- Strong technical and analytical mindset with in-depth understanding of how web and mobile application stacks work
- Excellent communication and interpersonal skills with ability to communicate with both technical and non-technical audiences
REQUIREMENT :
- A minimum of 5 years’ experience in a QA Consultant or related organization.
- Diverse software QA processes and change management methodologies and techniques.
- Experience using open source testing solutions like Cucumber (Ruby), Selenium Web Driver, Watir, Appium, Katalon, SoapUI, Postman, or JMeter
- Hands on experience with cross browser compatibility testing of web applications
- Strong experience testing web services (REST or SOAP)
- Use of test management and development tools like Zephyr and JIRA.
- Expert understanding of testing levels, methods and types such as, but not limited to: integration, system, acceptance, smoke, functional, regression, black box, white box and grey box testing.
- DB querying skills to assess results through data.
- Small to large project testing experience.
- Manual and automated testing strategies
