Software Engineer III - Enterprise Intelligence

Electronic Arts builds higher forms of entertainment, inspiring players and fans around the world. The Enterprise Intelligence (EI) Group develops a unified Big Data pipeline across all franchises at Electronic Arts.

As a Software Engineer III (SE III), you will take ownership of complex systems and lead the design and delivery of scalable solutions. You will work with teams to define technical direction, ensure operational excellence, and drive best practices while mentoring junior engineers and contributing to the broader engineering culture.

Responsibilities:

• Design, implement, and own large-scale, distributed systems and services with high availability, scalability, and performance requirements.
• Lead the end-to-end development of complex features and systems, from design through deployment and ongoing operation.
• Drive architectural decisions, evaluating trade-offs in scalability, reliability, cost, and maintainability.
• Build and maintain robust data pipelines and real-time streaming systems using modern distributed technologies.
• Ensure operational excellence by implementing monitoring, alerting, and observability best practices; participate in on-call rotations as needed.
• Improve system performance through profiling, benchmarking, and optimization of compute, memory, and I/O.
• Establish and enforce coding standards, testing strategies, and CI/CD best practices.
• Mentor junior engineers, provide technical guidance, and contribute to team growth and knowledge sharing.
• Identify technical debt and drive initiatives to improve system health, reliability, and developer productivity.

Qualifications:

• 7+ years of professional software engineering experience building and operating production systems.
• Expertise in software design, distributed systems, data structures, and algorithms.
• Proficiency in Java, with the ability to write production-grade, maintainable code.
• Experience designing and building scalable backend systems and APIs.
• Hands-on experience with data pipelines, streaming frameworks (e.g., Kafka, Flink, Storm), or large-scale data processing systems.
• Experience working with cloud platforms (preferably AWS) and distributed architectures.
• Experience with system reliability, observability, and performance optimization.
• Experience with relational databases (e.g., MySQL, PostgreSQL, Amazon RDS), NoSQL databases, or columnar databases, and data modeling.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

This is a hybrid role located in Kirkland, WA