Senior QA Automation - Selenium and Cypress

March 12

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Ben Fatto

Ben Fatto is a leading company in the development and customization of software, aiming to enhance productivity for businesses through software solutions. Specializing in the personalization and customization of Thomson Reuters applications in Latin America, Ben Fatto integrates these applications with various ERP systems like SAP and Oracle ERP. The company offers tailored development services, maintenance, and periodic migrations, ensuring robust support and adaptability for its solutions. With over 43 projects and more than 110 employees, the company has sustained a positive work environment and a high rating on Glassdoor, reflecting its commitment to respect and individual attention for both collaborators and clients.

Software Development β€’ customization β€’ personalization β€’ thomsonreuters β€’ comercioexterior

πŸ“‹ Description

β€’ Ben Fatto is looking for Senior QA to work in international Scrum teams with a global leading-market software. β€’ Join an environment of continuous professional development and teamwork.

🎯 Requirements

β€’ At least 3 years of experience in the QA/testing area β€’ At least 2 years of experience with automation β€’ Experience in test automation engineering with selenium test tools (preferable in C#) β€’ Experience in postman, cypress, and jmeter β€’ Experience testing cross-browser and cross-device web applications using automated testing tools β€’ Proficiency in developing, consuming and testing REST APIs, including documentation tools (Swagger/Postman) β€’ Proficiency in developing responsive first page/single page applications using javaScript β€’ Experiences modular in test data persistence systems using SQL and NoSQL DBMS. [MSSQL, Post-Lasql, Dynamo] β€’ Good communication and collaboration skills β€’ Conversational English β€’ Experience in Angular β€’ Application Performance Management Kibana β€’ Power BI, Tableu, Qicksight QWS β€’ Cloud development experience β€’ Data science, Machine Learning/Artificial Intelligence β€’ Knowledge in pipeline execution processes

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