Overview
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.

Working model: Hybrid

Responsibilities

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

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. 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

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📌 DevOps / MLOps Engineer (Torino)
🏢 Altro
📍 Torino