Hybrid Cloud Automation Engineer

The Hybrid Cloud Automation Engineer (Kubernetes, AI Applications & Datacenter Infrastructure) is responsible for designing and implementing automation solutions that streamline both modern cloud-native platforms and traditional datacenter environments. The role focuses on automating Kubernetes cluster operations and workflows for AI/ML applications, while also driving Infrastructure as Code and orchestration across compute, storage, and network resources in the datacenter. By building scalable automation frameworks, CI/CD pipelines, and monitoring integrations, the engineer ensures consistent, reliable, and secure operations. Working closely with development, AI, and infrastructure teams, the Automation Engineer accelerates application delivery, improves system resilience, and advances the organization’s automation maturity across the full technology stack.

He should have a strong knowledge and experience on various technologies and automation systems. The non-exhaustive list of job responsibilities as well as technical and specific skills / experience is shown below:

Job responsibilities:

• Automate Kubernetes cluster lifecycle, container deployments, and CI/CD workflows.

• Enable AI/ML application deployment, scaling, and resource optimization.

• Implement monitoring, alerting, and security automation across environments.

• Drive reliability, compliance, and performance improvements through automation.

• Collaborate with AI, DevOps, and infrastructure teams to accelerate delivery.

• Provide subject matter expertise in how to integrate Automation in the Datacenter ecosystem

• Work with operational teams in order to define the scope and the automation specifications

• Design, program and modify scripts and automation workflows (in various scripting languages) as necessary

• Develop and maintain Automation standards, policies and procedures

• Document engineering work, incident resolution and recurring incidents; creating technical analysis, performance, and enhancement reports.

• Lead project teams and acting as a resource for other team members.

• Plan, implement and carry out maintenance consisting of upgrades/updates/fixes for automation systems and their related components, following industry good practices.

• Work with other information technology professionals to resolve performance issues and optimize performance.

Technical and specific skills / Experience

• Strong Knowledge of container technologies (Kubernetes, Docker…), certifications are a plus.

• Proficient in IaC with Terraform and configuration automation with Ansible/Tower/AWX.

• Several experiences on automation project based on Python, Ruby, JavaScript or other frameworks.

• At least several years’ experience in a system administration and automation position.

• Relevant experience working with APIs in various formats (Rest, Graph, GRpc, Soap)

• Strong knowledge in Infrastructure (Network, Storage, Virtualization, Protocols, Operating Systems)

• Significant experience with Linux distributions: RedHat, Ubuntu, CentOS Stream…

• Experience with ManageIQ, NetApp, VMware, Cisco ACI is a plus.

• Ability to write specifications, standards and automated workflows.

• Knowledge of GDC Air Gapped, GCP Cloud, Azure Cloud is a plus.

Soft skills:

• Fluent in spoken and written in French and English

• Team spirit, self-organized, autonomous

• Strongly result and service oriented

• Ability to perform under pressure with strong analytical and problem-solving skills.

• Very good oral and written communication skills

• Proactive, force of proposal, anticipation

• Open minded, not afraid to go outside the comfort zone