Electronic Arts

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. 

At the heart of EA SPORTS is the FC franchise. EA SPORTS FC is the world's #1 best-selling video game with over 200M engaged players across multiple platforms, including console, PC, and mobile. Innovation, passion, and teamwork are at the heart of everything we do. With studios in Vancouver, Bucharest, and Cologne, we're looking for the brightest talent, so we can continue to create experiences that connect with millions of hearts and minds the world over.

Gameplay Programmers are essential in crafting the strategic elements and immersive experience of our games. In this role, you'll primarily focus on data processing, data transfer, and backend services. As a member of the Gameplay Advance team, you'll collaborate with your peers to develop cutting-edge gameplay technology.

Your Responsibilities:

• Design, build, and maintain cloud-hosted data pipelines and services used in production

• Ensure services are scalable, secure, and high-performing as they grow

• Collaborate closely with cross-functional partners, including central platform teams and DevOps, to deliver reliable solutions

Your Qualifications:

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.

• Bachelor’s or Master’s degree in Computer Science, or 5+ years of hands-on professional software development experience

• Experience building, shipping, and supporting scalable, cloud-hosted services

• Proficiency in multiple programming languages and frameworks, including Python and C++

• Strong understanding of client/server architectures, HTTP, RESTful APIs, and WebSocket-based data streaming

• Experience contributing to modern web application frontends

• Hands-on experience with machine learning data frames, including tools like Polars

• Experience deploying and operating services using Docker and Kubernetes

• Experience with at least one major public cloud platform (AWS, Azure, or GCP)

• Working knowledge of modern database technologies

• Proficiency with source control systems such as Git or Perforce

• Experience load testing, troubleshooting, and optimizing cloud service performance

• Ability to learn quickly and apply new technologies

• Bonus: Experience with animation systems or pipelines