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通用信息

地点:Vancouver, British Columbia, Canada 
  • 地点: Vancouver
  • 州:
  • 国家/地区: Canada


角色 ID
200083
工作人员类型
Regular Employee
工作室/部门
EA Studios - Quality Verification
弹性工作安排
Hybrid

描述和要求

我们是一支全球化团队,由创作者、剧作家、技术专家、体验创作者和创新者等角色组成。我们相信,精彩的游戏与体验始于与玩家和社区同样多样化的团队。在 Electronic Arts,你的想象力是对你的唯一限制。

The Software Engineer role within EA Sports Quality Verification Engineering (QVE) department collaborates with EA’s QA and Development teams to create tools, automation solutions, scripts, and technical strategies with the goals of improving game infrastructure and increasing efficiencies in the game delivery process. 


You will play an important part in ensuring a seamless consumer experience by focusing on upstream quality and targeting defect prevention and containment. You will report to a Development Director, and help analyze testing strategies, identify new testing technologies, and develop new tools for testing and tracking purposes. 


This is a hybrid role based in our Vancouver offices.


Responsibilities:

  • You will work with Dev and QA partners to identify areas of improvement through new tools and automation strategies. 

  • You will design, develop, and deploy internal software tools. 

  • Build, test, and deploy solutions that support automation deliverables. 

  • Support an increased adoption of automation and tools within game teams. Aid in the identification and requirements gathering for new tools. 

  • Identify and recommend debug and telemetry enhancements to aid testing. 

  • Provide debug support and technical expertise to other engineers on our teams. 

  • Participate in knowledge-sharing sessions to increase knowledge of existing tools, automation and testing processes. 

  • Perform risk analysis of new features – identify impact and scope. 

  • Help prioritize bug fixing efforts and identifying areas of test focus. 



Qualifications:

  • 5+ years of professional experience with a focus on concepts and language varieties.  Experience with C# is a must. 

  • Proficiency in Test Driven Development techniques (TDD). 

  • Familiarity with CI/CD pipeline (Jenkins).

  • Familiarity with C++ and Python. 

  • Understanding of software development life cycle, software engineering methodologies and practices, and software quality assurance concepts.