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

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📌 DevOps / MLOps Engineer (Torino)
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