QA Automation (Selenium + Cypress)- Sênior

Ben Fatto; Campinas; Presencial; BRL 90.000 - 120.000; Tempo integral

Resumo da oferta

A leading company in the software sector is seeking a Senior QA to enhance their international Scrum teams. The ideal candidate will have significant experience in QA and automation tools, facilitating continuous professional development and teamwork in a dynamic environment. This role demands effective communication and the ability to work collaboratively in a fast-paced landscape.

Qualificações

• At least 5 years of experience in QA/testing.
• 3 years of experience with automation.
• Proficiency in Selenium, Postman, Cypress, and JavaScript.

Responsabilidades

• Work in international Scrum teams.
• Test automation engineering.
• Develop and test REST APIs.

Conhecimentos

QA/testing

Automation

Selenium

Postman

Cypress

JMeter

REST APIs

JavaScript

SQL

NoSQL

Good communication

Conversational English

Descrição da oferta de emprego

Ben Fatto is looking for a Senior QA who wants to work in international Scrum teams with a globally leading-market software, in an environment of continuous professional development and teamwork.

Minimum Requirements:

• At least 5 years of experience in QA/testing and at least 3 years of experience with automation.
• Experience in test automation engineering with Selenium test tools (preferably in C#), Postman, Cypress, and JMeter.
• Experience testing cross-browser and cross-device web applications using automated testing tools.
• Proficiency in developing, consuming, and testing REST APIs, including documentation tools (Swagger/Postman).
• Proficiency in developing responsive and single-page applications using JavaScript.
• Experience with modular test data persistence systems using SQL and NoSQL DBMS (e.g., MSSQL, PostgreSQL, DynamoDB).
• Good communication and collaboration skills.
• Conversational English.

Additional (but not required) skills:

• Experience with Angular applications, performance testing, Kibana, Power BI, Tableau, Quicksight, QWS, cloud development, data, machine learning, and artificial intelligence.
• Knowledge of pipeline execution processes.