About the role
Company Overview
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. The company fosters a community that connects across the globe, prioritizing creativity, new perspectives, and ideas. The team is dedicated to making play happen.
The Role
Software Engineer III - EA Enterprise Intelligence
Join the central engineering team to build the next-generation Lifecycle Management (LCM) Experimentation & Analytics Platform, powering live services across 20+ world-class game studios and millions of daily active players. This role sits at the intersection of Software Engineering, Data Science, Data Analytics, and Data Engineering, acting as a platform bridge to transform statistical methodologies, experimentation designs (A/B/n testing, multi-armed bandits, variance reduction), and advanced analytics frameworks into scalable, robust, and reusable platform services.
Reporting to the Technical Director of Enterprise Insights Engineering.
Responsibilities
- Build configuration dashboards that empower game studio teams to launch and evaluate experiments independently.
- Develop and maintain low-latency APIs and microservices for real-time experiment assignment and player targeting at scale.
- Develop contextual analytics systems (batch and real-time processing pipelines) that inform on important metrics, detect anomalies, and forecast future results.
- Partner closely with DS, DA, and DE teams to platformize, package, and automate statistical or Machine Learning methodologies (e.g., A/B/n testing, variance reduction, causal inference, and metrics calculation).
- Standardize behavioral event schemas, configuration models, and metadata contracts across diverse game titles.
- Promote the value of the LCM platform by providing in-depth data insights into players' engagement with content across live channels.
Qualifications
- Education: Master's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field.
- Experience: 3+ years in software development building data-intensive systems, distributed backend services, or platform APIs.
- Collaboration: Strong experience collaborating with Data Science, Data Analytics, or Machine Learning teams to productionize analytical models or algorithms.
- Statistical Knowledge: Solid conceptual understanding of A/B testing, hypothesis testing, and core statistical mechanisms. Machine learning experience is required.
- Technical Skills:
- Expertise in Python and at least one compiled language (Java, Go, or Scala).
- Advanced SQL skills.
- Distributed data frameworks (Spark or Trino).
- Modern Lakehouse/Data Warehouse solutions (Snowflake, Databricks, or Redshift).
- Cloud services (AWS preferred).
- Containerization (Docker/Kubernetes).
- Pipeline workflow orchestrators (Airflow).
- Collaboration: Ability to work effectively in a global, cross-functional environment; strong English communication skills for international meetings, team collaboration, and documentation.
Preferred Qualifications
- Gaming industry experience or familiarity with game telemetry data.
Benefits and Culture
- Company Culture: Values adaptability, resilience, creativity, and curiosity. Provides leadership development and space for learning and experimenting.
- Benefits Approach: Holistic approach emphasizing physical, emotional, financial, career, and community wellness.
- Packages tailored to local needs.
- May include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, and complimentary games.
- Equal Opportunity: Electronic Arts is an equal opportunity employer. Employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.
- Accommodations: EA provides workplace accommodations for qualified individuals with disabilities as required by applicable law.