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.

Si assicuri che tutte le informazioni della sua candidatura siano aggiornate e corrette prima di cogliere questa possibilità.
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. xysqume Certifications (Preferred)
- AWS Solutions Architect
- Kubernetes certifications. Mindset
- Ownership and autonomy
- Passion for automation and AI platforms
- Strong collaboration and communication skills

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