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The Infrastructure Platform For AI Builders: Maximize AI Potential at Enterprise Scale
Senior Python Systems Engineer, Agent & Infrastructure
Location
Germany
Posted
98 days ago
Salary
0
Seniority
Senior
Job Description
Senior Python Systems Engineer, Agent & Infrastructure
ClearML
• Agent Development: Design and optimize the clearml-agent, a Python service responsible for pulling jobs, setting up environments, and executing ML pipelines. • Kubernetes Integration: Write logic to interact directly with K8s APIs, manage Pod life-cycles, and handle Custom Resource Definitions (CRDs). • Resource Management: Implement logic for dynamic resource allocation (GPU/CPU/Memory) and container orchestration. • Systems Programming: Build robust daemons and services that interact with OS-level primitives (systemd, signals, I/O streams). • Networking: Troubleshoot and optimize TCP/IP connections, DNS resolution, and firewall traversal to ensure seamless connectivity for users.
Job Requirements
- 8+ years of development experience with a strong focus on Systems Programming.
- Kubernetes Mastery: Deep understanding of Kubernetes architecture (beyond just writing YAML). You should know how to write code that controls K8s.
- Container Internals: Extensive experience with Docker, including building and maintaining images.
- Python for Systems: Experience using Python for automation, daemons, or CLI tools (using libraries like subprocess, socket, asyncio).
- Networking Fundamentals: Strong grasp of HTTP/S, WebSockets, TCP/IP, Proxies, and Reverse Proxies.
- OS Knowledge: strong understanding of Linux internals and shell scripting.
Benefits
- Fully Remote & Global – Work from anywhere with a distributed team of top-tier engineers.
- Engineering-First & Autonomous – High ownership, real responsibility, and freedom to design and ship impactful solutions.
- High Growth, High Impact – Your work directly affects thousands of users, from startups to large enterprises.
- Technically Deep Challenges – Build complex, performance-critical systems at the core of modern AI infrastructure.
- Fast Feedback, Real Users – See your work in production quickly and make a measurable difference.
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