Software Quality Engineer

We are seeking a Software Quality Engineer to join our Quality, Verification & Standards (QVS) team at Electronic Arts. As a Software Quality Engineer, you will play a crucial role in ensuring the quality of our games, particularly FC Online and related projects.

Responsibilities:

• Develop and maintain automation tools to support quality verification processes for FC Online and related projects.
• Collaborate with game development and QA teams to gather requirements and provide tailored technical solutions.
• Analyze existing workflows and legacy tools, and leverage AI-based approaches to automate and improve efficiency and quality.
• Continuously enhance automation tools to increase efficiency and reliability.
• Design and verify system architecture and non-functional requirements for large-scale microservice-based game servers and backend systems.
• Develop and optimize load testing tools and processes to ensure robust performance under high user loads.
• Create and support functional and non-functional testing tools throughout the game development lifecycle.
• Collaborate with global Quality Engineering teams to share technology and integrate best practices.

Requirements:

• Bachelor's degree in Computer Science or related IT field, or equivalent industry experience.
• At least 5 years of hands-on software development experience.
• Proficiency in major programming languages such as C++, C#, Java, JavaScript/TypeScript, or Scala.
• Practical experience with scripting languages like Python, Shell Script, or Groovy.
• Experience in developing automation tools or automating development and quality processes.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, Travis, or Bamboo.
• Experience with Lean/Agile software development processes.

Preferred Qualifications:

• Experience in online game development.
• Understanding of software development lifecycles and process/test automation.
• Experience with large-scale microservice architectures or automated testing and load testing for online services.
• Hands-on experience with AI/ML to improve legacy workflows, tools, and engineering efficiency.