🛠 Tech Stack

💼 About This Role

You'll design and deploy GPU cluster architectures for AI workloads using Kubernetes and Slurm. Your work will power scalable inference and training for a global digital ecosystem. This role offers collaboration with top partners like Intel and NVIDIA.

🎯 What You'll Do

• Design end-to-end GPU cluster architectures using Ansible, Terraform, Kubernetes, and Slurm
• Lead technical deep-dives, conduct workshops, and present solutions to stakeholders
• Build and maintain Infrastructure as Code modules to automate provisioning and scaling
• Produce whitepapers, runbooks, and training materials; host webinars and training sessions

📋 Requirements

• Proven track record deploying GPU clusters at scale with multi-node, multi-GPU setups
• Hands-on experience with Ansible or similar configuration management tools and Terraform
• Strong familiarity with Kubernetes and Slurm
• Proficiency in Python and Go

✨ Nice to Have

• Experience deploying high-availability inference infrastructure for production AI workloads
• Familiarity with MLflow, REST APIs, PyTorch, TensorFlow, JAX
• Knowledge of Hugging Face transformers, Scikit-learn, and experiment tracking best practices

🎁 Benefits & Perks

• 🏖️ Work from home within Poland
• 💰 Competitive salary with estimated range $130k-$180k
• 🌍 Global team of 550+ professionals
• 🔬 Work with cutting-edge AI infrastructure including NVIDIA GPUs
• 📚 Learning and development opportunities

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview with Team Lead· 45 min