Descripción de la oferta
Do you want to be part of a dynamic environment where software quality is a top priority? Are you passionate about ensuring robust, reliable, and high‑performance products? If so, our quality team wants to hear from you!
We are an agile team focused on ensuring that our solutions meet the highest quality standards. We are responsible for validating key functionalities, automating tests, and continuously improving our testing processes. Our goal is to deliver an impeccable user experience and guarantee product stability in every release.
In this role, you will work closely with developers, product owners, and other QA engineers, participating in the entire development lifecycle to ensure quality from day one.
What You Will Do
Design, execute, and automate backend and end‑to‑end tests using Java and JavaScript, ensuring the quality and stability of developed services.
Validate data‑processing microservices architectures, including Spark‑ and Cloudera‑based components, as well as Kafka integrations and data consolidation/transformation checks.
Perform and analyze performance tests using JMeter, identifying improvement areas, detecting potential bottlenecks, and producing detailed technical reports.
Manage and document the full testing lifecycle using Xray: test case design, sprint execution, incident tracking, and functional/technical certification of releases.
Collaborate continuously with development, business, and monitoring teams, providing technical documentation in English and defining validation procedures for deployments to production environments.
What You Bring
Strong technical skills in Java and JavaScript, with proven experience in test automation using the Karate framework to ensure backend service quality and consistency.
Solid knowledge of backend ecosystems and data‑driven environments, including Kafka integrations, Spark‑based pipeline development and validation, and experience with data‑management platforms such as Cloudera.
Demonstrated experience with quality assurance tools and methodologies, particularly continuous integration with GitLab, performance testing with JMeter, and test lifecycle management using Xray.
Ability to develop supporting automation scripts in Python to streamline tasks and support various testing frameworks.
Excellent communication and documentation skills in English, with the ability to collaborate effectively with development teams, business areas, and international stakeholders in agile environments.
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