Description
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Live Data Platform & Infrastructure (LDPI) team builds and operates the foundational systems that support EA's live games and services. These systems run at a global scale and allow teams across EA to improve live experiences for millions of players.
As a Software Engineer, you will develop critical infrastructure and platform services that power EA's live-service data ecosystem. You will partner with other engineering teams to ensure the platform evolves safely while continuing to meet the demands of live operations.
Responsibilities:
- Build and operate large-scale, always-on infrastructure supporting live data across EA's global game portfolio.
- Ensure the reliability, performance, and scalability of production systems, partnering with others for scaling and redundancy.
- Translate operational and technical requirements into system designs, balancing immediate delivery with long-term platform health.
- Develop automation, tools, and workflows that minimise manual effort and ensure safe, repeatable changes.
- Document technical designs, architectural decisions, and operational procedures to support knowledge sharing and reliable operations.
Qualifications:
- 6+ years of professional software engineering experience with production ownership.
- Expertise designing and operating distributed/cloud systems.
- Proficiency in Java.
- Experience with containerized/service-based platforms and production workloads.
- Experienced with cloud platforms (AWS, Azure, GCP), including EKS, EC2, S3.
- Experience in CI/CD and infrastructure automation.
Bonus:
- Infrastructure experience for live-service or real-time workloads.
- Work with data-intensive or high-throughput systems.
- Applied AI-assisted or LLM-based engineering workflows.
- Experience with data warehouses (Snowflake, Redshift, Spark).
This is a hybrid remote / in-office role, requiring some in-office presence in Vancouver.