Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
\nThe Infrastructure and Platform Services team (IPS) is the backbone of EA’s global gaming ecosystem, delivering the technology that powers EA’s live games and player experiences. IPS provides a deep portfolio of digital platform gaming services and production infrastructure to EA's game studios. From scalable cloud solutions to AI-driven gameplay services, IPS ensures that EA’s games are available anytime, anywhere for millions of players worldwide.
\nAs a Software Engineer on our team, you will report to the Senior Director of Engineering. You will collaborate with studios to develop internal tools that shape gameplay, progression, and live services. You will maintain an AI-first mentality, finding opportunities to integrate AI and automation into our development lifecycle and product features. You will guide best practices and mentor engineers to provide solutions that support our player-first mission.
\nResponsibilities:
\nQualifications:
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\nImproves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.
\nResponsible AI practices
\nProactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
\nCoding
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\nDesign
\nOwns and leads efforts and discussions for the architecture of aspects of complex products/solutions. Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements. Mentors
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