Modoante
SwedenFull TimeSoftware Developers

Software Engineer

EA Digital Illusions CE AB | Stockholm, Stockholm County, Sweden | Salary not specified

Source: JobsPipe

Required Skills

pythonnode.jsreactc++
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Role snapshot

Work model
Hybrid
Language
Not specified
Experience
Not specified
Posted
Posted today
Application deadline
2026-11-29

What you'll do

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games. As a Software Engineer at EA SPORTS TRACAB, you will help make our Computer Vision and Machine Learning team more productive by building tools, infrastructure and automation that simplify how we develop, test and operate our systems. We're looking for a versatile, pragmatic engineer who enjoys solving problems, improving workflows and making life easier for other developers. Responsibilities Create tooling that transforms how we understand, access and work with our data. Build intuitive visualisation tools, dashboards and user interfaces. Turn manual tasks into simple GUIs, scripts and automated workflows. Improve data storage, organisation and pipelines to support our ML developers. Develop automated metrics, testing and evaluation tools to help developers measure and improve system performance. Improve observability and debugging tools to make our systems more reliable and easier to maintain. Explore AI-assisted development and automation to improve team productivity. Requirements Master's degree in Computer Science or equivalent academic or industrial experience. Comfortable with Python, Node.js and React. Experience working with data, APIs and software tooling. Curious, pragmatic and communicative, with a passion for making things work better. Ability to quickly understand unfamiliar codebases and deliver practical solutions. Nice to have Experience with: C++. Databases, data pipelines and formats such as Parquet. CI/CD, automated testing and observability tools. AI coding assistants and development automation. Computer vision, machine learning, sports video or tracking data.

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