QA Engineer

✅ 23 vacation days.

✅ Exclusive discounts on Fnac, theater, cinema, Booking, and more.

✅ Flexible compensation: meal vouchers, medical insurance, nursery school... and all of this reduces your income tax!

✅ "Bring a friend" program: if you recommend someone and they join us, you receive a bonus!

✅ We provide you with the necessary equipment to work.

✅ Continuous training: online platform and official certifications to keep growing.

ICT sector professional with more than 6 years of experience in services related to Quality Offices, software development, process automation, and quality assurance. Experience in the design, implementation, and maintenance of CI/CD pipelines, code quality and security analysis, test automation, and performance testing.

Experience working with Git, Maven, Jenkins, and SonarQube, as well as with test automation tools such as Selenium, Cucumber, and Gherkin. Knowledge of Cloud Computing, agile methodologies, and management tools such as Jira and Confluence. Demonstrable experience in the use of Artificial Intelligence tools as support for development and productivity improvement.

• Git - Advanced
• Gitflow
• Maven
• Repository management
• Branching and merge strategies
• Jenkins - Advanced
• Pipeline Design and Maintenance
• Continuous Integration
• Automate processes
• CI/CD
• SonarQube - Advanced
• Static code analysis
• Security analysis
• Vulnerability detection
• Code Review
• Good programming practices
• Selenium
• Cucumber
• Gherkin
• Automation of functional tests
• Regression testing
• BDD
• Automation architecture design
• JMeter
• Performance test design
• Load testing
• Results analysis
• Bottleneck identification
• Performance metrics analysis
• Azure
• AWS
• Cloud Services
• Cloud Architectures
• Agile
• Scrum
• Jira
• Confluence
• Task management
• - Attend (client) events to position the ING TS value proposition and stay informed on key trends.
• AI applied to software development
• Code generation and assistance
• Code review and analysis using AI
• Optimization of development processes using AI tools

• PMP
• PRINCE2
• ITIL
• CSM
• PSM-I

• Design, configuration, and maintenance of Jenkins pipelines for continuous integration and automation processes.
• Advanced source code management using Git and application of branching strategies based on Gitflow.
• Automation of build processes and dependency management using Maven.
• Configuration and maintenance of static code analysis using SonarQube.
• Use of SonarQube plugins for security analysis and vulnerability detection.
• Code review applying programming best practices and proposing improvement alternatives.
• Definition and application of quality criteria and standards within the software development cycle.
• Design and implementation of test automation solutions.
• Development and maintenance of automated tests using Selenium, Cucumber, and Gherkin.
• Integration of automated tests within CI/CD pipelines.
• Design and execution of performance tests using JMeter.
• Analysis of load and performance test results.
• Identification of performance issues and proposal of corrective measures.
• Application of agile methodologies in multidisciplinary teams.
• Management and monitoring of tasks using Jira.
• Documentation and knowledge management using Confluence.
• Participation in projects developed on Cloud environments such as Azure and AWS.
• Use of Artificial Intelligence tools as support for code development, review, and optimization.
• Development and maintenance of applications following quality standards and programming best practices.
• Repository and branch management using Git and Gitflow.
• Automation of build processes using Maven.
• Development and maintenance of CI/CD pipelines using Jenkins.
• Integration of quality and security analysis using SonarQube.
• Automation of functional and regression tests using Selenium.
• Development of BDD scenarios using Cucumber and Gherkin.
• Integration of automated tests into continuous integration processes.
• Design and execution of performance tests using JMeter.
• Analysis of metrics and results obtained during testing.
• Collaboration with development teams for the detection and resolution of quality issues.
• Application of agile methodologies and participation in Scrum ceremonies.
• Management of tasks, incidents, and work tracking using Jira.
• Technical documentation and knowledge management using Confluence.
• Use of Cloud solutions in Azure and/or AWS environments.
• Use of Artificial Intelligence tools as support for programming, analysis, and code review tasks.
• Design and maintenance of Jenkins pipelines integrated with Git, Maven, and SonarQube to automate build processes, quality analysis, security analysis, and software validation.
• Design and implementation of a test automation solution using Selenium, Cucumber, and Gherkin, integrated into CI/CD processes.
• Design and execution of load tests using JMeter, results analysis, and identification of performance issues.
• Integration of SonarQube and its security plugins to automate the detection of quality issues, vulnerabilities, and programming bad practices.
• Use of AI tools as support for development, code generation and review, incident resolution, and process optimization.