Consultant Milano, for a company specializing in AI and automation solutions, is looking for an AWS DevOps Engineer.
In this role, you will design, implement, and maintain cloud infrastructure and CI/CD pipelines to support AI/ML models and automation tools. You'll collaborate with AI/ML engineers, developers, and product owners in an Agile environment to ensure efficient deployment, monitoring, and scaling of AI applications.
Key Responsibilities:
• Build and maintain cloud infrastructure for AI and data processing applications.
• Design and manage CI/CD pipelines for deploying AI/ML platforms and microservices using AWS services (EC2, ECS, S3, RDS).
• Manage containerized applications with Docker and Kubernetes, ensuring scalability and reliability.
• Implement monitoring, logging, and alerting solutions.
• Collaborate to optimize the software development lifecycle and ensure security compliance.
Requirements:
• 2+ years of experience as a DevOps, SRE, or Cloud Engineer.
• Strong knowledge of AWS services and cloud architecture.
• Proficiency in CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.).
• Familiarity with networking, security practices, and cloud governance.
• Ability to work independently and take ownership of cloud infrastructure.
Preferred Qualifications:
• Experience with AI/ML model deployment and MLOps pipelines (e.g., MLflow, Kubeflow, SageMaker).
• Familiarity with serverless architectures (AWS Lambda, Azure Functions).
• Certifications in AWS, Azure, or Kubernetes.
We offer a direct permanent contract with the company.
Disponibilità oraria: Full Time