Description & RequirementsThe ATOM team is building the future of AI-driven game testing. As a Software Engineer for ATOM, reporting to the Director of AI for Quality Verification Services (QVS), you will design and develop the platforms that power next-generation agentic systems. Your mission is to evolve Citadel, ATOM's internal microservices platform for developing, deploying, and evaluating autonomous agents, enabling ML engineers and QA partners to create high-quality AI artifacts that accelerate game testing across EA's portfolio.
You will work across backend services, developer tooling, data infrastructure, and game-integration workflows to create a robust foundation for experimentation and scaled evaluation.
Responsibilities
- Design, develop, and maintain Citadel, ATOM's internal platform for agent development and evaluation - including backend systems, microservices, event-driven components, and cloud/Kubernetes infrastructure.
- Own and evolve Citadel's game abstraction layer, ensuring reliable access to Xbox and PlayStation development kits, and providing unified interfaces for launching, configuring, and controlling game builds in training and evaluation experiments.
- Support the technical maturation of ATOM prototypes, such as our agentic playtesting bots.
- Develop internal APIs, orchestration workflows, observability tools, and CI/CD pipelines that support rapid experimentation and high-throughput agent evaluation scenarios.
- Use modern software engineering processes and best practices for requirements, design, implementation, and testing.
- Participate in design reviews, code reviews, and architecture discussions to maintain high technical quality.
Qualifications
- BSc in Computer Science, Engineering, or equivalent experience.
- 5+ years of software engineering experience, with strong fundamentals in backend development and distributed systems.
- Proficiency in Python, C++, or other backend languages.
- Hands-on experience with game development workflows, game engines, or console platforms (build handling, packaging, deployment, debugging).
- Experience developing C++ applications on Windows, including integration with Windows services, COM-based SDKs, and troubleshooting/debugging native code in complex environments.
- Solid understanding of networking fundamentals, including OSI layers, common transport and application protocols (HTTP, WebSockets, WebRTC), and core concepts such as handshakes, packets, and headers.
- Experience building microservices and deploying to Kubernetes and cloud platforms (AWS/GCP/Azure).
- Strong understanding of system design, API development, observability, CI/CD, and reliability best practices.
- Ability to partner effectively across ML, QA, and game teams; strong written and verbal communication skills.
- Experience using AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate development and code review workflows.
Pay Transparency - North AmericaCOMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$122,300 - $170,700 CAD
Pay is just one part of the overall compensation at EA.
For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.
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