Software Engineer
EA Digital Illusions CE AB has an opening for a Software Engineer in Stockholm, Sweden. The listing describes it as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
EA Digital Illusions CE AB has an opening for a Software Engineer in Stockholm, Sweden. The listing describes it as a full-time position.
The advert mentions Python, Node.js, React, C++, CI/CD, machine learning, computer vision and observability among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Visa sponsorship is not mentioned. Applicants from outside Sweden should check the official work permit route before applying.
Dev Global Jobs found this job on Arbetsförmedlingen (JobTech) on Nov 4, 2026; applications close on Nov 29, 2026.
- Employer
- EA Digital Illusions CE AB
- Location
- Stockholm, Sweden
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Nov 4, 2026 on Arbetsförmedlingen (JobTech)
- Closes
- Nov 29, 2026
- Employer text
- 252 words, about 1 min to read
- Apply only on the official page (ea.com). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, Node.js, React and C++) in your CV where you really have them; applicant tracking systems look for these words.
- Plan to apply before Nov 29, 2026.
- Read the employer’s full text below (about 1 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Sweden (ICSC post adjustment 37.6), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Work permit: Job offer with terms equal to Swedish collective agreements; new salary threshold
- EU Blue Card: Degree and salary threshold
- Job seeker permit for highly qualified: Advanced degree, up to 9 months
Official routes: Swedish Migration Agency
About the role
Full text from the employer, as published on Arbetsförmedlingen (JobTech), arranged into sections. Nothing added or removed.
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.
01Responsibilities
- 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.
02Requirements
- 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.
03Nice 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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