Electronic Arts

We are looking for a Software Engineer for the Quality Verification & Standards in Seoul. Our mission is to drive software excellence by delivering quality engineering solutions that ensure the reliability, performance, and overall quality of our gaming experiences. We collaborate with teams to develop and implement AI-driven solutions for quality control, test automation, AI pipelines, and CI/CD systems. As a partner to game development and QA teams, we promote innovation by integrating AI/ML into Dev/QV processes to ensure the highest quality standards. The team culture empowers you to work with a modern and diverse technical stack, contributing to innovation in a collaborative environment.

You will report to the Development Manager and follow a hybrid work model (Work from home 2 days per week).

Responsibilities:

• You will support the Quality Verification process for FC Online and related projects by developing test automation tools.

• You will collect and analyze requirements from game development and QA teams to create tailored technical solutions.

• You will analyze existing workflows and legacy tools, and transform them using AI-driven approaches to improve automation, intelligence, overall efficiency, and quality.

• You will analyze and verify system architecture and non-functional requirements, including scalability, reliability, and performance, for large-scale microservices-based game servers and backend systems.

• You will design and enhance load testing tools for performance under high user loads.

• You will collaborate with global Quality Engineering teams to share technologies and integrate best practices.

Qualifications:

• Bachelor's degree in Computer Science or a related IT field, or equivalent industry experience

• Minimum 5 years of hands-on software development experience

• Proficiency in at least one major programming language such as C++, C#, Java, JavaScript/TypeScript, or Scala

• Experience with scripting languages (e.g., Python, Shell Script, Groovy)

• Demonstrated experience developing automation tools or automating development and quality processes

• Practical experience using CI/CD tools such as Jenkins, GitLab CI, Travis, or Bamboo

• Experience with Lean/Agile software development processes

• Hands-on experience using AI/ML to enhance legacy workflows, tools, and engineering efficiency