Software Engineer III (Data & Insights)

Software Engineer III - EA Enterprise Intelligence

The Challenge Ahead

Join our central engineering team to build the next-generation Lifecycle Management (LCM) Experimentation & Analytics Platform that powers live services across 20+ world-class game studios and millions of daily active players.

In this role, you sit at the high-impact intersection of Software Engineering, Data Science, Data Analytics, and Data Engineering. You will act as the primary platform bridge: taking cutting-edge statistical methodologies, experimentation designs (A/B/n testing, multi-armed bandits, variance reduction), and advanced analytics frameworks developed by our DS and DA teams, and transforming them into scalable, robust, and reusable platform services.

If you are an engineer who loves data, understands statistical / ML logic, and takes pride in building scalable, resilient, self-serve platform products, this is the role for you.

You will report to the Technical Director of Enterprise Insights Engineering.

Responsibilities:

• You will build configuration dashboards that empower game studio teams to launch and evaluate experiments independently.

• You will develop and maintain low-latency APIs and microservices for real-time experiment assignment and player targeting at scale.

• You will develop contextual analytics systems (batch and real-time processing pipelines) that inform on important metrics, detect anomalies, and forecast future results.

• You will 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).

• You will standardize behavioral event schemas, configuration models, and metadata contracts across diverse game titles.

• You will promote the value of the LCM platform, by providing in-depth data insights into players' engagement with content across live channels.

Qualifications:

• Master's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field.

• 3+ years of experience in software development building data-intensive systems, distributed backend services, or platform APIs.

• Strong experience collaborating with Data Science, Data Analytics, or Machine Learning teams to productionize analytical models or algorithms.

• Solid conceptual understanding of A/B testing, hypothesis testing, and core statistical mechanisms. Experience with machine learning is required.

• Expertise in Python and at least one compiled language (such as Java, Go, or Scala), along with advanced SQL skills.