Electronic Arts

Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.

The Data & Insights (D&I) team transforms data into relevant insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partner across teams to improve decisions and create more meaningful player experiences.

The SE III will report to the Senior Manager, Engineering.

Responsibilities:

• You will design large-scale, distributed systems and services with high availability, scalability, and performance requirements.
• You will lead the end-to-end development of complex features and systems, from design through deployment and ongoing operation.
• You will translate ambiguous product and requirements into clear technical designs and execution plans.
• You will guide us architectural decisions, evaluating trade-offs in scalability, reliability, cost, and maintainability.
• You will ensure by implementing monitoring, alerting, and observability best practices; participate in on-call rotations.
• You will resolve complex production issues across multiple systems and dependencies.
• You will establish and enforce coding standards, testing strategies, and CI/CD best practices.Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• 5+ years of professional software engineering experience building and operating production systems.
• Expertise in software design, distributed systems, data structures, and algorithms.
• Proficiency in one or more programming languages e.g., Java, Python, C++, 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 databases relational, NoSQL, or columnar and data modelling.
• Familiarity with containerization and orchestration tools e.g., Docker, Kubernetes.