GenAI Platform and Operations Engineer

CRIF; Bologna; On-site; EUR 36,000 - 44,000; Full time

Job summary

CRIF is seeking a GenAI Platform & Operations Engineer to join the IT Operations team in Bologna. You will design, implement, and operate cloud-based platforms enabling Generative AI solutions across the organization.

Responsibilities include cloud platform management, reliability engineering, GenAI service support, and security/compliance. The role emphasizes automation, observability, and cross-country collaboration within the IT Infrastructure and Operations Department.

Qualifications

• Hands-on experience with Generative AI technologies and platforms such as GitHub Copilot, OpenAI, Claude, etc.
• 3–5+ years of experience in Cloud Engineering or Cloud Operations.
• LLM concepts and prompt engineering.
• Kubernetes / AKS / EKS and container security.

Responsibilities

• 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) using Terraform.
• Monitor cloud services via observability platforms and manage incidents.
• Ensure platform resilience, backups, disaster recovery, and business continuity.
• Support deployment and operation of GenAI services such as Azure Foundry AI or AWS Bedrock.
• Ensure compliance with cybersecurity policies and regulatory requirements.

Skills

Cloud engineering

GenAI

LLM concepts

Prompt engineering

Observability

Security mindset

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, Information Technology or equivalent

Tools

Terraform

Kubernetes

AKS

EKS

Azure DevOps

GitHub Actions

Jenkins

Azure

AWS

Job description

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 activities.

Required Skill

Essential knowledge and requirements

• Hands-on experience in Enterprise projects based on Generative AI technologies such as GitHub Copilot, OpenAI, Claude, and similar platforms.
• Bachelor's Degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• 3 / 5+ years of experience in Cloud Engineering or Cloud Operations.
• LLM concepts.
• Prompt Engineering.
• Kubernetes / AKS / EKS.
• Container security and orchestration.
• Cloud Networking fundamentals.
• CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).

Nice to have

• Unified platform for data, analytics, and AI like Databricks
• Scripting with Python, Bash, or PowerShell.
• Google Cloud
• Vector Databases.
• Observability approach and tools
• Habit of working in international environments cooperating with different teams and countries
• Experience supporting enterprise production environments.

Soft Skills

• Strong troubleshooting and analytical mindset.
• Ability to work under pressure in critical production environments.
• Proactive attitude and tasks accountability.
• Strong collaboration and communication skills.
• Continuous learning mindset focused on emerging AI technologies.
• Excellent knowledge of English.

We offer a safe and inclusive environment where colleagues are encouraged to think outside the box. CRIF is committed to creating a diverse, inclusive work environment and promoting equal opportunities throughout the employee life cycle. We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity

What we offer

Type of contract: permanent

The Annual Salary for this position starts from €40,000 gross per year.

The level of classification will be determined during the selection process based on the candidate’s profile and in accordance with the National Collective Labour Agreement (CCNL) for the Tertiary, Distribution and Services sector. The final compensation package, including any variable components (such as MBO) or additional benefits, will depend on the assessment of the candidate’s profile against the role requirements.

Pursuant to Regulation (EU) 2016/679 (“GDPR”), candidates are hereby informed that their personal data will be processed exclusively for purposes related to the management of their application and the selection process. For further information on the processing of personal data and on the exercise of their privacy rights, candidates are invited to consult the full privacy notice available at the following Link, in the "Terms of Use" section.