Remote job
QA Automation
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About this role
Role overview This role sits inside international Scrum teams building a market-leading software product, with an emphasis on continuous professional development and collaborative engineering culture. The position is a Senior QA focused on automated testing across web, API, and data layers of the product. It suits someone who enjoys combining hands-on scripting with structured test design in a fast-paced, team-oriented setting.
Responsibilities - Design and maintain automated test suites for cross-browser and cross-device web applications using Selenium (preferably in C#), Cypress, and supporting tools. - Build and execute API-level tests for REST services using Postman and Swagger, including documentation of endpoints and test scenarios. - Develop and consume automated checks for responsive front-end and single-page applications written in JavaScript. - Create modular, reusable test data setups across SQL and NoSQL data stores such as MSSQL, PostgreSQL, and DynamoDB. - Use JMeter to plan and run load and performance checks, and report quality metrics to the wider Scrum team. - Communicate findings, risks, and quality status clearly to developers, product owners, and other stakeholders in English.
Requirements - At least 3 years in QA/testing and at least 2 years in test automation engineering. - Solid experience with Selenium test tools (ideally C#), Postman, Cypress, and JMeter across web and API layers. - Proficiency testing REST APIs with documentation tools such as Swagger and Postman. - Hands-on experience with JavaScript front-end development and responsive or single-page application patterns. - Working knowledge of modular test data persistence in SQL and NoSQL DBMS, including MSSQL, PostgreSQL, and DynamoDB. - Conversational English, plus strong communication and collaboration skills suited to international Scrum teams.
Nice to have - Experience with Angular, performance dashboards such as Kibana, Power BI, Tableau, or QuickSight, plus cloud development and exposure to data, machine learning, or artificial intelligence projects. - Familiarity with CI/CD pipeline execution processes.