QA - Automation Test Engineer

Pando is a global leader in supply chain technology, building the world's quickest time-to-value Fulfilment Cloud platform. Pandos Fulfilment Cloud provides manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order fulfilment and customer order fulfilment to improve service levels, reduce carbon footprint, and bring down costs. As a partner of choice for Fortune 500 enterprises globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a Technology Pioneer by the World Economic Forum (WEF), covered in the 2023 Gartner market guide and as one of the fastest growing technology companies by Deloitte.

Role

We are looking for a QA Automation Engineer to join our team of IT professionals. In this role, you will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance.

Responsibilities

• Designing and developing test automation scripts.
• Using test automation guidelines.
• Researching issues in software through testing.
• Participate in sprint planning.
• Collaborating with QA Analysts and Software Developers to develop solutions.
• Keeping updated with the latest industry developments.

Required Skills & experience

• 3 to 5 years of experience in automation testing.
• Experience with test automation tools like Selenium, Appium, orsimilar.
• Strong knowledge of programming languages like Java, Python, or C# (Preferably Java)
• Understanding ofsoftware development lifecycle (SDLC) and testing processes.
• Familiarity with Agile/Scrum methodology.
• Experience with test management tools like JIRA, HP ALM, or similar
• Knowledge of software testing methodologies and techniques.
• Ability to write and execute test scripts.
• Familiarity with continuous integration/continuous delivery (CI/CD) tools such as Jenkins, GitLab, orTeamCity.
• Good understanding of version control systems such as Git and SVN
• Knowledge of containerization and orchestration tools like Docker and Kubernetes
• Knowledge of cloud service platforms like AWS and Azure