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.

Engagement details:
- Location: Turin, Italy
- Working model: Hybrid
- Start date: ASAP

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)
- ML platforms (MLflow, Kubeflow, SageMaker, Bedrock
- Model serving, monitoring, and drift detection
- Data pipelines and ML governance. Certifications (Preferred)
- AWS Solutions Architect
- Kubernetes certifications. Mindset
- Ownership and autonomy
- Passion for automation and AI platforms
- Strong collaboration and communication skills

Next steps:
- Press “Apply"
- We will review your application
- If qualified, you will be accepted into the network and can be considered for this and similar positions & projects

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