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Role Overview
We are looking for a Software Engineer II, Gameplay Automation to help build and scale gameplay automation capabilities for EA SPORTS FC. You will design and implement automated test frameworks and gameplay validation tools. These will include simulation or scenario-based test harnesses and CI-integrated automation. The goal of these tools is to help the gameplay team detect regressions earlier and ship higher-quality player experiences.
You will work with gameplay engineers, QA, designers, producers, and tools teams. Your collaboration will focus on identifying high-value areas for automation, improving test coverage, reducing manual validation cost, and making gameplay defects easier to reproduce, diagnose, and fix.
This is an engineering role focused on building automation systems, test infrastructure, and developer/QA tooling. Your work may involve hands-on investigation of gameplay defects, but the primary focus is writing software that improves the team's ability to validate gameplay at scale.
You are comfortable working in C++ and scripting languages, understands software testing and automation principles, and is excited to apply those skills to complex, real-time football gameplay systems. You will report to the QVE Technical Director.
This is a temporary 12-month contract position, working hybrid from our office in Burnaby.
Responsibilities
Design, implement, debug, and maintain automated test frameworks, validation tools, and gameplay automation systems.
Build scenario-based, simulation-based, or replay-driven tests for gameplay systems and player-facing behaviours.
Integrate automated gameplay validation into CI/CD, build verification, and team development workflows.
Partner with gameplay engineers, QA, designers, producers, and tools teams to identify high-value regression coverage and automation opportunities.
Create tools that help QA, designers, and engineers author, run, inspect, and debug gameplay tests.
Investigate gameplay defects, automation failures, flaky tests, and performance issues; improve the reliability and signal quality of automated results.
Develop reporting, diagnostics, logging, telemetry, or dashboards that make automation results are relevant.
Support deterministic or repeatable gameplay testing.
Contribute to test strategy, technical design, code reviews, documentation, and engineering best practices.
Support gameplay feature teams from prototype through production by improving validation coverage and reducing manual test burden.
Use knowledge of football/soccer and EA SPORTS FC gameplay expectations to help define meaningful validation scenarios.
Required Qualifications
Professional software engineering experience in game development, test automation, tools, real-time systems, or large-scale software validation.
Programming skills in C++.
3+ years of experience building or maintaining automated tests, test frameworks, developer tools, or CI-integrated validation systems.
Knowledge of football (soccer) rules, tactics, player behaviour, match flow, teams, leagues, or fan expectations.
Experience with scripting languages such as Python, C#, Lua, JavaScript, or similar.
Debugging skills and the ability to investigate complex software defects across systems.
Understanding of software engineering fundamentals, including data structures, algorithms, testing, performance, reliability, and maintainability.
Collaborate with engineers, QA, designers, producers, and other partners to translate quality goals into practical automation.
Comfortable working in an iterative development environment with changing requirements and regular feedback.
Interest in building high-quality player experiences.
Other Qualifications
Experience with gameplay systems, sports simulations, animation systems, AI behaviour, game modes, online systems, or live service features.
Experience building automation for games, simulations, real-time applications, or complex interactive systems.
Familiarity with EA SPORTS FC gameplay mechanics, modes, and player expectations.
Experience with game engines, proprietary engines, Unreal Engine, Unity, or similar real-time development environments.
Experience with CI/CD systems, build pipelines, test orchestration, distributed test execution, or automated reporting.
Experience reducing test flakiness, improving automation reliability, or scaling automated validation across teams.
Experience building tools for QA, designers, content creators, producers, or engineers.
Experience with telemetry, analytics, experimentation, or data-informed quality workflows.
Experience applying AI-assisted workflows, intelligent tooling, or LLM-based systems to improve test authoring, triage, developer productivity, or automation workflows.