Generalist Platform Software Engineer - American Football
Important Note: This role requires a hybrid onsite presence in either Victoria, BC or Orlando, FL. Applicants are required to work onsite 3 days every week. This is a 12-month contract with the possibility of longer term employment.
American Football games (Madden, College Football, and our new project) are developed at EA's Tiburon Studios in Orlando, FL, Madrid, Spain, and Victoria, BC, Canada by a team that prides itself on innovation and creative collaboration. We're looking for top technical talent passionate about automation, scalability, and reliability to help redefine how we build, deploy, and operate large-scale connected game experiences within Unreal Engine for a new title that connects with football fans around the world.
Reporting to a Software Engineering Manager, as a Generalist Platform Software Engineer, you will build developer tooling, optimizing engine performance, and maintaining scalable CI/CD automation across multiple environments. Your work directly impacts developer velocity, workflow stability, and the performance of world-class sports entertainment experiences.
Responsibilities:
Develop and maintain core internal tooling and workflows to boost developer productivity across Unreal Engine.
Analyze, profile, and optimize engine performance, memory usage, and build times.
Design, implement, and maintain robust CI/CD pipelines, build automation, and infrastructure-as-code for game clients and backend services.
Collaborate closely with gameplay, tools, and infrastructure teams to resolve technical bottlenecks and improve service reliability.
Promote engineering best practices in testing, automated releases, and monitoring across the studio.
Qualifications:
7+ years of professional C++ software engineering experience, ideally in games or real-time systems.
Experience with Unreal Engine architecture, build systems (UBT/UAT), and profiling/optimization tools.
Solid background in developer tooling, automation, or CI/CD systems (Jenkins, GitLab CI, GitHub Actions).
Scripting capabilities in Python, C#, or Bash.
Familiarity with cloud environments, containerization (Docker, Kubernetes), or version control (Perforce, Git).