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