🛠 Tech Stack

💼 About This Role

You'll design and automate enterprise-grade AWS SageMaker environments as part of a cross-functional engineering team. Your work directly accelerates machine learning workflows and improves operational efficiency for complex AI ecosystems. This remote role offers strong ownership and exposure to cutting-edge cloud and AI initiatives.

🎯 What You'll Do

• Design and automate AWS SageMaker environments and infrastructure.
• Develop DevOps automation for machine learning operations.
• Build CI/CD pipelines for Docker images and ML workloads.
• Monitor and optimize SageMaker services, cost, and performance.

📋 Requirements

• 6+ years in DevOps, Cloud Engineering, or MLOps
• Expert-level knowledge of AWS services and Python proficiency
• Hands-on experience with AWS SageMaker
• Proven experience in enterprise-scale DevOps automation

✨ Nice to Have

• Experience with Jenkins or similar CI/CD tools
• Familiarity with Docker and containerized environments
• MLOps and model deployment automation experience

🎁 Benefits & Perks

• 🏠 Remote-first work environment across Europe
• 🚀 Cutting-edge AI and cloud projects
• 💼 Flexible employment (Contractor or Full-time)
• 🌍 International team collaboration
• 📈 Career growth in advanced technologies

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 15 min