Description
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. As a Senior Software Engineer, you will lead the delivery of critical systems and services. You will collaborate across teams to build scalable, reliable, and efficient solutions and help shape engineering best practices.
The Data & Insights (D&I) Data Group develops a unified Big Data pipeline across all franchises at Electronic Arts. Our live service platform incorporates data collection, ingestion, processing, real-time streaming analytics, access, and visualisation - all built on a modern, cloud-based tech stack with modern tools. The Data Group provides the tools and platform that power the future of game development, marketing, sales, accounting, and customer experience.
Responsibilities:
- Lead the design, development, and operation of complex, scalable systems and services with high reliability and performance requirements.
- Oversee major services, ensuring their long-term maintainability, scalability, and operational health.
- Drive system architecture and design discussions, influencing technical direction with different teams.
- Build large-scale data pipelines and real-time streaming systems using modern distributed technologies.
- Implement monitoring, alerting, and observability practices.
- Identify technical debt, driving improvements in system quality, performance, and developer productivity.
Qualifications:
- 7+ years of professional software engineering experience building and operating large-scale systems
- Proficiency in Java
- Experience designing and building scalable backend systems and APIs
- Hands-on experience with data pipelines, real-time streaming technologies (e.g., Kafka, Flink, Storm), or large-scale data processing systems
- Experience working with cloud platforms (preferably AWS) and distributed infrastructure
- Understanding of system reliability, observability, and performance optimization techniques
- Experience with database technologies (relational, NoSQL, or columnar) and data modelling at scale
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Experience with CI/CD systems and modern software development practices