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일반 정보

지역: Vancouver, British Columbia, Canada 
  • 장소: Toronto
  • 시/도:
  • 국가: Canada


역할 ID
208161
근로자 유형
Regular Employee
스튜디오/부서
CTO - Studio Technology Group
유연근무제
Hybrid

설명 및 참여 요건

당사는 크리에이터, 스토리텔러, 기술자, 경험 생산자, 혁신가 등으로 구성된 글로벌 팀입니다. 당사는 서비스를 제공하는 플레이어만큼이나 다양한 팀에서 놀라운 게임과 경험이 시작된다고 믿습니다. Electronic Arts에서 불가능은 없습니다.

Who We Are

Game Production Solutions (GPS) is a new division in Creative Technologies at Electronic Arts. GPS supports AI projects, with a focus on Generative AI for game assets. We are looking for a technologist to help us develop services and cloud infrastructure supporting Generative AI projects. You will report to the Technical Director overseeing this department, and work closely with a team of experienced engineers and AI experts.

This position can be hybrid or remote within Canada.


Responsibilities

  • Solution Architecture: work with engineers and AI experts on the team to architect backend services to power our generative AI platform, and be accountable for the performance, scalability and security of the architecture. You will also document technical specifications and system designs for future reference.

  • Coding and Debugging: write clean, well-structured, and maintainable code that follows best practices. Troubleshooting and debugging issues are essential.

  • Partnerships and Collaboration: collaborate with Product Managers, Tech Artists, and DevOps/AIOps engineers.

  • Technical Leadership and Mentorship: provide technical mentorship and guidance to junior engineers, promoting an environment of learning and improvement. Best practices for coding scalable and secure backend services within the team are expected, and you will participate in code reviews and provide constructive feedback to other team members


Qualifications

  • 5+ years of experience as a Software Engineer

  • Hands-on experience designing and implementing backend and online services

  • Experience building AI pipelines and products on the Cloud (AWS, Azure, Google)

  • Experience working with containers (like Docker / similar) and fabrics (like Kubernetes / similar.)