DevOps / MLOps Engineer

Hashlist; Piemonte; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Descrizione del lavoro

Hashlist is seeking a Senior DevOps / MLOps Engineer to design, build, and operate scalable, secure platforms for data engineering, ML, and AI workloads in production. The role is based in Turin with hybrid work and ASAP start.

You will design and operate DevOps and ML platforms, build CI/CD templates, automate ML lifecycles, manage Kubernetes and cloud infra, and uphold security and IaC standards, collaborating across teams.

Competenze

• Bachelor’s degree or equivalent experience.
• 7+ years in DevOps / Platform Engineering.
• Strong AWS experience: EC2, EKS, Lambda, S3.
• Kubernetes and Terraform expertise.
• CI/CD experience: GitLab, GitHub Actions.
• Python scripting; ML ops knowledge (preferred).

Mansioni

• 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.

Conoscenze

Python and scripting

Ownership and autonomy

Collaboration and communication

Automation and AI platforms

Formazione

Bachelor’s degree or equivalent experience

7+ years in DevOps / Platform Engineering

AWS Solutions Architect (certified)

Kubernetes certifications

Strumenti

AWS – EC2, EKS, Lambda, S3

Kubernetes

Terraform

GitLab / GitHub Actions

Descrizione del lavoro

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