QA Automation Engineer

Description

ThetaRay is the leading provider of AI-based Big Data analytics.

We are helping financial organizations combat financial cybercrimes such as money laundering and fraud, and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking, which negatively impact the global economy.

Join us as a QA Automation Engineer to conduct automated quality tests in a customer environment.

This role follows a hybrid model, involving being present at ThetaRay's Madrid site three times a week, along with occasional travel to ThetaRay customers' premises in Madrid.

 

Responsibilities

Perform E-2-E solution testing on testing and production environments.

• Development of quality assurance and testing policies, standards, and procedures for the solution deployed for the customer.
• Work with project stakeholders to determine the appropriate quality initiatives to implement during system development life cycles. 
• Conduct tests and analyze results to ensure that software meets or exceeds specified standards and/or client and technical requirements. 
• Coordinate and manage planning of system and/or acceptance tests within a development or integration project. 
• Build and deploy test pipelines and test processes in the CI/CD environment
• Develop smart, stable, and clean code using Python, Java, and more - BE & FE tests with various tools
• Take part in defining quality processes and standards to meet the company's quality vision
• Work in an agile environment, a fast and challenging company with constant learning

Requirements

• At least 2 years of experience developing test automation and infrastructures – Python (advantage) or Java
• At least 2 years of experience as a Backend QA
• Deep understanding of quality methodologies, testing tools, and CI/CD flows
• Experience with Kubernetes, microservices, or cloud technologies – a significant advantage
• Experience with Linux shell and CI/CD utilities – a significant advantage
• A genuine passion for AI and proficiency working with cutting-edge AI development tools and technologies
• B.Sc. in Computer Science – an advantage
• Good communication skills
• Native Spanish speaking, proficiency in English (writing, speaking, reading)