🛠 Tech Stack

💼 About This Role

You'll design and automate enterprise-grade AWS SageMaker environments for cutting-edge AI initiatives. Your work will enable data science teams to deploy models faster and more reliably. This role offers strong ownership and exposure to advanced cloud technologies in a remote-first environment.

🎯 What You'll Do

• Design, implement, and automate AWS SageMaker environments.
• Develop DevOps automation for scalable ML operations.
• Build and manage CI/CD pipelines for ML workloads.
• Create monitoring, alerting, and cost-control mechanisms.

📋 Requirements

• 6+ years in DevOps, Cloud Engineering, or MLOps.
• Expert-level knowledge of AWS services.
• Strong proficiency in Python programming.
• Hands-on experience with AWS SageMaker.

✨ Nice to Have

• Experience with Jenkins CI/CD pipelines.
• Familiarity with Docker and containerized environments.
• Experience with MLOps practices.

🎁 Benefits & Perks

• 🏖️ Remote-first work across Europe
• 🚀 Cutting-edge AI and cloud projects
• 💼 Flexible employment options (Contractor or Full-time)
• 🌍 International engineering team
• 🎯 Career growth opportunities in advanced cloud tech

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min