Software Engineer III

Vancouver, BC
Hybrid
Posted Oct 23, 2026
1 position

$122,300–$170,700 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will build automated testing frameworks and CI/CD pipeline integrations to identify software quality issues. Additionally, you will develop evaluation methods for generative AI and LLM-based systems using both deterministic and model-based approaches.

Job details

DESCRIPTION & REQUIREMENTS Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Description In FC Quality Verification Engineering, our mission is to help our teams identify quality issues earlier. We build automation frameworks and developer tools that combine software development and applied AI/ML to improve how we test EA-SPORTS FC. Role summary You will work with us to build automated testing frameworks and evaluation tools, applying AI and machine learning to expand our test coverage. You will report to our Engineering Manager. Responsibilities * You will build automated testing frameworks, validation checks, and CI/CD pipeline integrations with reproducible diagnostics. * Develop methods that help us explore complex software behaviour, identify coverage gaps, and detect defects. * Build automated checks to validate software behaviour and data against requirements. * Develop evaluation frameworks for generative AI and LLMs-based systems (e.g., implementing LLMs-as-a-judge patterns, rubric-based scoring, and automated calibration) alongside deterministic validation checks. * Apply generative AI, NLP, and machine learning, balancing heuristic, deterministic, and model-based approaches to solve complex software testing problems. * Integrate testing tools into development pipelines, producing reproducible diagnostics, and support the software you deliver. * Prototype latest machine learning and LLMs capabilities, and collaborate with engineering, design, and quality partners to clarify requirements, review code, and resolve blockers. Required qualifications * 5+ years of professional software engineering experience, including 2+ years of hands-on experience building, integrating, or evaluating AI/ML and LLMs-based systems. * A Master of Science in Computer Science, Mathematics or a related field, or equivalent professional engineering experience. * In-depth experience with LLMs, generative AI, and NLP concepts, architectures, and failure modes. * Experience developing evaluation frameworks for generative systems, including dataset curation, model-as-a-judge design, validation criteria, error analysis, and quantitative/qualitative metrics. * Proficiency in Python, algorithms, data structures, modular design, automated testing, debugging, and version control. * Experience preparing datasets, defining validation criteria, and performing error analysis using quantitative ML metrics. * Experience with natural language processing or large language models, such as prompting, fine-tuning, or retrieval-augmented generation. Pay Transparency - North America COMPENSATION 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. About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. GENERAL INFORMATION Locations: Vancouver, British Columbia, Canada Role ID 216421 Worker Type Regular Employee Studio/Department EA Studios - Quality Verification Work Model Hybrid

What you’ll do

Requirements

The role requires at least 5 years of professional software engineering experience, including 2 years of hands-on work with AI/ML and LLM systems. A Master of Science in Computer Science, Mathematics, or a related field is required or equivalent professional experience.