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Full-time

Senior Backend Engineer – AI Infrastructure (m/f/d)

Munich/ Remote

Build, scale, and optimize the core architecture that drives real-time football intelligence.

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The Job Specification

Your Role in the Squad

You are the backbone of our system architecture and data processing.You capture massive amounts of data, organize it with high efficiency, andempower our AI models by providing stable, scalable data pipelines.
Architecting High-Performance Backends+
AI Pipeline Orchestration+

You will work at the intersection of Engineering and AI, building scalable infrastructure to deploy, monitor, and retrain our heavy Computer Vision and Deep Learning models in production.

Data Pipeline Engineering+
Infrastructure as Code & Cloud Scaling+
Technical Governance & Mentorship+
  • Code Quality
  • AI Deployment
  • GO/ PY Knowledge
  • System Architecture
  • Cloud Native
  • ETL Pipelines
  • Teamplay
Your Profile

Our Requirements

We are looking for driven backend engineers who bring the right technical expertise to our team. Here is a breakdown of the core qualifications and technical standards required for this position:

Must Haves

  • 4+ years of professional experience in backend engineering, building robust and production-proven systems
  • GO/ Py: Deep knowledge in Golang and/or Python, with a strong track record in microservices and distributed systems.
  • Cloud: Proven expertise in cloud architecture (AWS/GCP), Kubernetes, and setting up automated data pipelines.
  • ETL: Experience managing databases (SQL/NoSQL) and real-time streaming frameworks like Kafka, RabbitMQ, or gRPC.

Nice to Haves

  • You are a champion for clean code initiatives, agile workflows, and conducting high-quality, thorough technical code reviews.
  • You have excellent communication skills in English, thriving in a highly collaborative, fast-paced international team.
  • Bonus: you have prior experience handling infrastructure for heavy AI/ML model inference (NVIDIA CUDA, PyTorch).
  • Bonus Point: A genuine, intrinsic interest in football analytics, sports telemetry, or gaming (like EA Sports FC).
Perfect Setup

Your UpgradesOn and Off the Pitch

Discover your benefits from working at GAMECODE.Ai.

  • Modern Working

    Flexibility & Work-Life Balance

  • Pick Your Own Tools

    State-of-the-Art Tech Stack

  • We Invest in Your Future

    Personal Development & Growth

  • Culture & Community

    Team and Company Culture

Final Warm-Up

Your Scouting Report

Fill out the fields below, answer our two-question "warm-up" so we know you are ready for the pitch, and secure your spot in our selection process.

Let's change the future of sports intelligence together.

1. General Information
2. Baseline-Check

A quick sanity check for our engineering squad:Which of these protocols is built for high-performance, low-latency communication between microservices via binary streams?

3. Game Passion
The Timeline for

The Selection Process

Fast, transparent, and respectful of your time.From your initial transfer request to the final whistle,our entire process typically takes 2 to 3 weeks.

  1. 01

    ApplicationReview

    We review your profile, CV, GitHub, and LinkedIn to understand your technical strengths. If your skills match our requirements, we invite you to the first round.

  2. 02

    IntroductoryCall

  3. 03

    TechnicalDeep Dive

  4. 04

    FinalConversation

Is this opening notthe right fit yet?

If this specific role does not match your profile, do not worry. We are constantly expanding our squad and looking for exceptional talent across all departments. Take a look at our other vacancies or send us a spontaneous application.

GAMECODE.Ai key visual (final_cta)