Full-Stack Software Engineer - ML Cloud Applications chez Electronic Arts

EA ExperiencesOur EA Experiences group is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims, just to name a few. We're a multi-functional group, with world-class expertise building fandoms, driving interactive storytelling, and positioning our franchises at the center of the broader entertainment ecosystem. We inspire, connect, and engage fans through culturally relevant content, intentionally architected journeys across channels, and meaningful fan care. Our goal is to provide valuable, easy experiences that fans love – in our games, around our games, and through innovative adjacent experiences to grow and enrich how fans experience EA as we shape the future of entertainment.Fan GrowthEA’s Fan Growth organization is responsible for elevating the experiences customers get from our entertainment and maximizing their fun. We’re obsessed with the experiences our fans have with EA. We value people who bring new ideas and perspectives to make Fan Growth a great place to be and be from. We celebrate inclusion. It’s just as important for us to create great experiences for our people as for our players. We’re looking for people who will show up excited to work and ready for fun.SummaryThe Full Stack Software Engineer - ML Cloud Applications designs, develops, and maintains fast, scalable, cloud-based applications that take full advantage of existing ML/Generative AI technologies. This includes building full-stack AI-driven solutions and automation pipelines that accelerate product development cycles and enable rapid experimentation. This position collaborates closely with many cross-functional partners such as tech artists, content creators, data scientists, writers, and game engine programmers to streamline model deployment, optimize infrastructure, and deliver reliable, high-performance applications powered by modern cloud and AI technologies.This is an on-site or hybrid role with 3 days a week in office. You will report to the Sr. Technology Lead in the Marketing Content Production Craft team. Benefits include health coverage with health care spending, retirement savings plan, gym access, free games, and plenty of additional perks!ResponsibilitiesAnalyzing user requirements and technical constraints to design and implement efficient machine learning application solutions on the cloud.Leveraging and integrating AWS services (e.g., Lambda, Cognito, SAM, SSM, SageMaker, API Gateway, DynamoDB, CloudWatch, etc.) and AI/ML tools to enable fast development and deployment of intelligent applications.Delivering robust, scalable, and maintainable cloud-native applications using modern development frameworks, tools, and best practices.Autonomously architecting and building end-to-end pipelines that handle data ingestion, model inference, and real-time API services.Generating technical documentation.Collaborating with partner teams in developing shared solutions across different EA domains.Required Qualifications4+ years of professional software development experience building cloud-native applications (web, API services, ML pipelines)Strong proficiency in Python, with experience using ML libraries and frameworksExpertise with source control software like Perforce or GitExperience developing on AWS using services such as Lambda, SAM, SSM, SageMaker, API Gateway, DynamoDB, etc.Experience with AI tools for fast application development (coding agents, AWS, MCP, n8n…)Experience with full-stack or backend development including RESTful APIs and infrastructure-as-code tools (CloudFormation) Postuler maintenant