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
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