Senior Software Engineer

Electronic Arts; Vancouver; Hybride; CAD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Vacation: 3 weeks per year

Sick time: 10 days per year

Top-up EI/QPIP benefits

Extended health/dental/vision

Résumé du poste

Electronic Arts in Vancouver–Burnaby area seeks a Senior Software Developer to manage systems from proposal to adoption. You’ll shape technical direction, write code, define metrics, and mentor engineers.

Hybrid work requires at least 3 days in the office, reporting to the Technical Director of FC Quality Verification Engineering. You will lead multi-agent state machines, AI testing frameworks, and end-to-end test environments, while collaborating with development, QA, production, and live ops

Qualifications

• 10+ years of professional software development experience.
• Bachelor's or Master's degree in CS/SE with AI/ML coursework.
• Proficiency in C# or C++ and Python.
• In-depth experience with LLMs, multi-agent orchestration, state machines, context/memory management, and human-in-the-loop workflows.
• Experience designing and independently implementing complex software systems, including interfaces, dependencies and documented trade-offs.
• Experience building test automation or developer tools, integrating them into CI/CD workflows, and debugging distributed systems using logs and telemetry.

Responsabilités

• Lead the design and implementation of closed-loop, multi-agent state machines, human-in-the-loop execution flows, and Generative AI testing frameworks for hyper-personalization systems.
• Develop distributed agent execution environment that autonomously run and self-heal end-to-end tests across complex environments.
• Develop statistical validation solutions, probabilistic rubrics, and calibration frameworks to measure feature quality, model drift, and non-deterministic agent behaviour at scale.
• Own technical designs, build reusable components, and improve our CI/CD workflows and distributed execution services.
• Diagnose failures across code, data, and infrastructure, fix root causes, and mentor our engineers through code reviews and knowledge sharing.
• Act as product owner for the systems you lead: define requirements, scope, delivery plans, and keep partners informed of estimates, progress, risks and dependencies.
• Learn and evaluate new engineering approaches, including AI-assisted workflows, and measure improvements in reliability and adoption.

Connaissances

C# / C++

Python

LLMs & AI

Distributed systems

Automated testing

CI/CD

Version control

Statistical inference

Experiment design

Debugging distributed systems

Formation

Bachelor's or Master's in CS/SE with AI/ML coursework

Description du poste

Role ID

216434

Worker Type

Regular Employee

Studio/Department

Work Model

Hybrid

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 and requirements

In FC Quality Verification Engineering, our mission is to build the technology, large-scale test automation, and AI-powered developer tools that help our EA SPORTS FC teams understand game quality and decide when we are ready to ship. We work closely with development, quality verification, production, content, and live operations teams.

Role summary

As a Senior Software Developer in Vancouver you will manage these systems from proposal to adoption. You will shape our technical direction, write code, define success metrics, and mentor engineers on our team. You will report to our Technical Director , FC Quality Verification Engineering. You will work hybrid, at least 3 days a week, from our office in Burnaby, BC.

Responsibilities

Lead the design and implementation of closed-loop, multi-agent state machines, human-in-the-loop execution flows, and Generative AI testing frameworks for hyper-personalization systems.

Develop distributed agent execution environment that autonomously run and self-heal end-to-end tests across complex environments.

Develop statistical validation solutions, probabilistic rubrics, and calibration frameworks to measure feature quality, model drift, and non-deterministic agent behaviour at scale.

Own technical designs, build reusable components, and improve our Continuous Integration and Continuous Delivery (CI/CD) workflows and distributed execution services.

Diagnose failures across code, data, and infrastructure, fix root causes, and mentor our engineers through code reviews and knowledge sharing.

Act as product owner for the systems you lead: work with stakeholders to define and prioritize requirements, agree scope and success criteria, turn them into delivery plans, and keep partners informed of estimates, progress, risks and dependencies.

Learn and evaluate new engineering approaches, including AI-assisted workflows where useful, and measure improvements in reliability, feedback speed and adoption.

Required qualifications

10+ years of professional software development experience .

A Batchelor or Master's degree in Computer Science, Software Engineering, or a related field that includes coursework or academic exposure to Artificial Intelligence / Machine Learning concepts.

Proficiency in C# or C++ and Python, alongside experience designing complex software systems, automated testing, and version control.

Experience designing and independently implementing complex software systems, including interfaces, dependencies and documented trade-offs.

In-depth experience with LLMs, multi-agent orchestration, state machines, context/memory management, and human-in-the-loop workflows.

Proficiency in statistical inference, hypothesis testing, variance reduction, and experimental design to build statistical testing solutions for probabilistic systems.

Experience developing evaluation frameworks for generative systems, including dataset curation, LLMs-as-a-judge design, validation criteria, error analysis, and quantitative/qualitative metrics.

Experience building test automation or developer tools, integrating them into CI/CD workflows, and debugging distributed systems using logs and telemetry.

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

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.