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GenAI Platform and Operations Engineer

Pubblicato il 13-10-2026 - Altro in Bologna

GenAI Platform & Operations Engineer
Job Description
We are looking for a highly motivated GenAI Platform & Operations Engineer to join our IT Operations team and support the design, implementation, and operation of cloud-based platforms enabling Generative AI solutions across the organization.
The role will be responsible for ensuring the infrastructure architecture, reliability, scalability, security, and operational excellence of cloud environments hosting AI workloads, Large Language Models (LLMs), vector databases, data platforms, and related services, working closely with development teams to understand their requirements and provide support for new and existing applications.
The ideal candidate combines strong cloud engineering expertise with an operational mindset and a passion for automation, observability, and emerging AI technologies.
The chosen candidate will join Cloud Engineering & Operations team as part of the IT Infrastructure and Operations Department. This role entails collaborating with cross-functional teams spanning multiple countries to augment the reliability,



scalability, and performance of our systems.
Key Responsibilities
Cloud Platform Management
Design, deploy, and manage cloud-native infrastructures on Azure and AWS.
Support AI and GenAI platform services, ensuring availability, scalability, and performance.
Implement Infrastructure as Code (IaC) solutions using Terraform.
Operations & Reliability
Monitor cloud services and workloads through observability platforms.
Support incidents and problem management.
Ensure platform resilience, backup strategies, disaster recovery, and business continuity.
Generative AI Platform Support
Support deployment and operation of GenAI services such as: Azure foundry Ai or AWS Bedrock
Security & Compliance
Ensure compliance with cybersecurity policies and regulatory requirements.
Manage cloud identity and access management (EntraID, Cognito, etc..)
Support vulnerability assessment and remediation activit

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