Software Engineer - DCL EAG

1 Year ago • 2-4 Years

Job Summary

Job Description

Full stack software engineer role for EA's Football Game Series. Requires JavaScript/React, C#, SQL, and 2+ years experience.
Must have:
  • JavaScript/React
  • C# Development
  • SQL Experience
  • 2+ Years Experience
Good to have:
  • Data Analytics
  • Machine Learning
  • MUI or Storybook
  • CI/CD Pipelines
Perks:
  • Hybrid Working
  • Global Team

Job Details

We are EA.

We entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. That's why we employ the most creative, passionate people in the industry.

The Challenge Ahead:

The Data Collection and Licensing (DCL) team is looking for a Full Stack Developer to manage the development of tools used by DCL contributing to the release of EA's Football Game Series. Our mission is to make our games as authentic as possible and that's why we want you! As the next DCL Developer, you will report to the Lead of DCL Engineering in our international and diverse group. You will be hired on an on-site or hybrid working model basis, if however fully remote working is your preference, we can investigate options.

Responsibilities:

  • Participate in the requirements gathering process and author design documentation.
  • Deliver high-quality code, conduct code reviews, and implement automatic testing.
  • Author operational and user documentation.
  • Propose enhancements and improvements to our engineering work.
  • Create reusable components and use design patterns.
  • Collaborate with a globally distributed team in North America and Europe.

Requirements:

  • Bachelor’s degree in computer science or engineering (or equivalent work experience).
  • 2+ years of Full-Stack Software Engineering experience.
  • 2+ years working with JavaScript / React or similar frameworks.
  • 2+ years of backend server development with C# (preferably) or Java.
  • 2+ years working with SQL or Entity Framework (or similar).

Other Preferred Experience:

  • Familiar with Data Analytics, Machine Learning/AI.
  • Proficiency with MUI or Storybook.
  • Implement CI/CD pipelines.
  • Workflow automation with Jenkins or similar tools.

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