Overview

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We are looking for a Senior DevOps / MLOps Engineer to design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production.

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- Working model: Hybrid

Responsibilities

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- Design and operate DevOps and MLOps platforms
- Build CI/CD and ML pipeline templates
- Automate ML lifecycle from training to deployment and monitoring
- Manage Kubernetes and cloud infrastructure
- Enforce security, compliance, and IaC standards
- Improve reliability, scalability, and observability
- Participate in on-call rotation and incident response

Qualifications

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- Bachelor’s degree or equivalent experience
- 7+ years experience in DevOps / Platform Engineering
- Strong AWS experience (EC2, EKS, Lambda, VPC, IAM, S3)
- Kubernetes and Terraform expertise
- CI/CD experience (GitLab, GitHub Actions)
- Python and scripting skills. xysqume MLOps Skills (Preferred)
- Model serving, monitoring, and drift detection
- Data pipelines and ML governance. Certifications (Preferred)
- AWS Solutions Architect
- Ownership and autonomy
- Passion for automation and AI platforms
- Strong collaboration and communication skills

📌 DevOps / MLOps Engineer (Città Metropolitana di Torino)
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📍 Città Metropolitana di Torino