AI Ops Engineer
ืคืืจืกื ืืชืืื ยท 0 ืืืขืืืื
ืฉืืืจื, ืืืฉื ืื ืืืืงืช ืืชืืื. ืคืชืืืช ืืฉืืื ืืื ื ืืืงืืช ืืื ืฉื ืืืช.
- 5โ10 years of experience across Development, DevOps, Cloud, or Infrastructure
- Significant hands-on experience with Azure Cloud
- Deep understanding of Cloud architecture and its practical implementation, including Networking and Security
- Software Development background, preferably with Python, PowerShell, and Terraform
- Strong hands-on experience with Kubernetes
- Experience with Azure AI Foundry and deploying AI models in the Cloud
- Experience with Elasticsearch
ืืืืฅ ืืชืืืืจ ืืืฉืจื ยท ืืชืขืืื ืืืืืืืืช
ืชืืืืจ ืืืฉืจื ืืืื
ืืืฉืจื ืืืงืืจืืช ยท ื ืฉืืจ ืืขืืืAI Ops Engineer | Cloud, DevOps & AI Infrastructure
๐ Haifa, Matam Park | Hybrid โ 2 days from home | Full-time
About the Role
Weโre looking for an experienced AI Ops Engineer for a hands-on role combining Cloud, DevOps, Development, and AI Infrastructure in a complex Enterprise environment.
Youโll be responsible for operating, maintaining, and managing cloud-based AI infrastructure, supporting AI models that serve various applications, and helping teams implement AI solutions according to organizational architecture and standards.
This is not an Architect role โ the focus is on implementing, operating, and maintaining the architecture in practice.
What Youโll Do
โข Operate and maintain enterprise AI infrastructure in the Cloud
โข Implement Cloud and AI architecture across organizational environments
โข Support AI models and services used by different applications
โข Guide teams in implementing AI solutions according to organizational standards
โข Work hands-on with Kubernetes, including Microservices, Deployments, Operators, YAML, and Helm Charts
โข Build and maintain CI/CD Pipelines
โข Work with Git, GitHub, and ArgoCD
โข Collaborate with Architects and cross-functional technology teams
What Weโre Looking For
โข 5โ10 years of experience across Development, DevOps, Cloud, or Infrastructure
โข Significant hands-on experience with Azure Cloud โ must
โข Deep understanding of Cloud architecture and its practical implementation, including Networking and Security
โข Software Development background, preferably with Python, PowerShell, and Terraform
โข Strong hands-on experience with Kubernetes
โข Experience with Linux
โข Experience building CI/CD Pipelines, preferably with Azure DevOps
โข Experience with Git, GitHub, and ArgoCD
โข Strong DevOps orientation combining Development and Operations
Strong Advantages
โข Experience with Azure AI Foundry and deploying AI models in the Cloud
โข Experience with Elasticsearch
Important to Know
โข The role includes one on-call week per month, with availability for urgent incidents when required
ืฉืืืืช ืขื ืืืฉืจื
- ืืืฉืจื ืื ืฆืืื ื ืฉืืจ. ืื ืื ื ืืฆืืืื ืฉืืจ ืจืง ืืฉืืืขืกืืง ืืคืจืกื ืืืชื.
- 5โ10 years of experience across Development, DevOps, Cloud, or Infrastructure, Significant hands-on experience with Azure Cloud, Deep understanding of Cloud architecture and its practical implementation, including Networking and Security, Software Development background, preferably with Python, PowerShell, and Terraform, Strong hands-on experience with Kubernetes