- As a SDET, you are expected to quickly onboard on the project and deliver on testing tasks (manual and automation) planned as part of the sprints in agile development process.
- You need to be self-organized and should be self-sufficient enough to work with minimum mentoring and supervision.
- Understand customer scenarios and requirements to validate the best solution
- Design and develop high quality test automation to increase regression coverage
- Continuously raise the bar for QA practices and need to be abreast with the latest technologies both in the company and industry and be able to utilize them to good effect.
- Train and mentor other members of the quality team on automation
#LI-NA01
Requirements
- 5-9 years hands-on software testing experience
- Bachelor's degree in Computer Science, Computer Engineering or related field or equivalent experience
- Strong proficiency in Python and experience with test automation frameworks such as PyTest and Selenium.
- Experience in writing API and UI automation for Web-based applications
- Solid understanding of manual and automated testing methodologies
- Experience in writing and maintaining test plans and test cases
- Familiarity with CI/CD tools and integrating and maintaining automated tests into the build process.
- Working experience on Git and PyCharm
- Demonstrate ability to complete highly detailed tasks with strict attention to detail, quality, and timeliness. Strong organizational and self-management skills
- Experience using source code management tools such as GIT, Bitbucket, Perforce or equivalent
- Strong debugging and troubleshooting skills
- Strong written and oral communication and collaboration skills, ability to collaborate effectively in team, across team and with management and other disciplines
- Experience in Cloud services like AWS and Azure is an added advantage
- Prior experience in Identity and Access management domain is a plus
Cyberark
CyberArk is the global leader in identity security, providing the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud environments, and throughout the DevOps lifecycle
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