IT DevOps Engineer

About the DevOps Group:

You will join the IT DevOps team that is at the heart of Mobileye's development. Our goal is to design & build the best development & supporting environment. Work with various teams to provide tools and infrastructure that ensure our continued development's scalability, performance, and resilience. We're constantly looking for ways to improve processes and provide new and innovative.

This position requires working from our Jerusalem office at least 3 times per week during the training period.

One day per week may be worked from another site and one day from home.

Greater flexibility regarding time spent in the Jerusalem office will be offered later on.

What will your job look like?

• Maintain, operate, and continuously evolve large-scale distributed infrastructure platforms serving thousands of Mobileye developers across hybrid environments, including Kubernetes, on-prem systems, and cloud-integrated services.
• Design, implement, and improve infrastructure automation, self-service capabilities, and operational tooling using modern DevOps practices, Infrastructure as Code, GitOps, and CI/CD methodologies.
• Investigate, isolate, and resolve complex infrastructure issues across Kubernetes, Linux, networking, storage, CI/CD, cloud, and on-prem environments, while driving root-cause analysis and long-term improvements.
• Collaborate with cross-functional teams to improve processes, developer experience, operational efficiency, and platform adoption.
• Contribute to a culture of ownership, continuous improvement, knowledge sharing, and proactive problem solving in a fast-paced engineering environment.
  
  

• B.Sc. in Computer Science, Software Engineering or similar.
• 3+ years of work experience as a DevOps Engineer or similar role.
• Experience with containerization and orchestration technologies, particularly Kubernetes (k8s Vanila - advantage).
• Proven system Linux capabilities.
• Knowledge of secure secrets management solutions (Vault, KMS) and compliance best practices.
• Proven experience with designing and writing complex pipelines - Gitlab-CI/Jenkins/Argo-workflows - an advantage.
• Proficiency in automation, scripting, and tool development - Python/bash an advantage.
• Familiarity with MCP (Model Context Protocol) tool experience in designing, extending, or integrating MCP-based workflows - a significant advantage.
• Background in building or integrating AI agents into developer workflows or infrastructure automation pipelines - An advantage.
• Highly motivated to improve processes with an innovative and out-of-the-box perspective.