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Allmän information

Platser: Vancouver, British Columbia, Canada 
  • Plats: Toronto
  • Status:
  • Land: Canada


Roll-ID
208161
Typ av arbetare
Regular Employee
Studio/avdelning
CTO - Studio Technology Group
Flexibelt arbetsarrangemang
Hybrid

Beskrivningar och krav

Vi är ett globalt team av skapare, historieberättare, teknikfantaster, upplevelsemakare, innovatörer och mycket mer. Vi anser att fantastiska spel och upplevelser börjar med ett lika skiftande team som de spelare och communities vi betjänar. På Electronic Arts är fantasin din enda begränsning.

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.)