Python Software Engineer – Machine Learning Systems

Rogon Technologies GmbH

Python Software Engineer focusing on building and maintaining ML systems at CUJU. Collaborating on a live product impacting global talent scouting in football.

Posted 7/3/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and maintaining production ML systems and pipelines, with a strong focus on Python programming, AWS infrastructure, and CI/CD workflows. Proven ability to ensure system reliability and performance through robust testing and monitoring practices.

Highest-signal resume keywords

Machine Learning Systems DevelopmentPython ProgrammingAWS Infrastructure ManagementCI/CD Pipeline ImprovementDocker Containerization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPythonAWSRayGitCI/CDDockerKubernetesTestingMonitoring

Tools & Technologies

GitHub ActionsGitLab CIDistributed SystemsAPIsBatch Jobs

Industry Keywords

Production SystemsScalabilityCost EfficiencySoftware EngineeringClean Architecture

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerKubernetesPythonRay

About the role

Key responsibilities & impact

Design, build, and maintain production ML systems and pipelines
Write clean, testable, and maintainable Python code
Deploy and operate models in production (APIs, batch jobs, real-time systems)
Work hands-on with AWS infrastructure to build scalable systems
Use distributed systems (Ray) for large-scale workloads and model serving
Containerize and deploy services using Docker (Kubernetes is a plus)
Improve and maintain CI/CD pipelines for ML workflows
Ensure robust testing, monitoring, and reliability of ML systems
Contribute to improving system architecture, performance, scalability and cost efficiency
Treat modeling as part of software engineering—not a separate activity

Requirements

What you’ll need

4+ years of experience in software engineering
Hands-on experience building, deploying, and operating ML systems in production
Strong programming skills in Python (clean architecture, testing, modular design not just scripts)
Proven experience building and operating systems on AWS (preferred) or strong experience with a comparable cloud platform
Experience with Ray (or similar distributed compute frameworks) is a strong plus.
Experience with: Git (collaborative workflows, code reviews)
CI/CD pipelines (GitHub Actions, GitLab CI, etc.)
Testing (unit + integration — not optional)
Experience with Docker (Kubernetes or similar is a strong plus)
Hands-on experience with production infrastructure (CI/CD, monitoring, logging, deployments)

Benefits

Comp & perks

Work on a live product with real-world impact
Build end-to-end ML systems, not just models
Operate in an environment that values engineering excellence
Have real ownership over systems in production
Significant influence on CUJU’s growth, product strategy, and industry-leading innovation.
Competitive compensation, remote flexibility, and a vibrant, international working environment.
Direct collaboration with top-tier football clubs, industry experts, and an ambitious cross-functional team.
Significant influence on CUJU’s growth, product strategy, and industry-leading innovation
Short decision-making paths – direct communication, quick decisions, and close collaboration with management
Personal development – individual learning opportunities and room to grow beyond yourself
Diverse benefits – e.g. 30-day vacation, competitive compensation, corporate benefits, and moree environment