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

What will your job look like?

• Maintain and evolve large-scale distributed infrastructure serving thousands of Mobileye developers across hybrid environments.
• Design and implement infrastructure automation, optimization, and self-service tools, leveraging modern DevOps practices and IaC frameworks.
• Pinpoint, isolate, and resolve complex issues across cloud, Kubernetes, and on-premise systems.
• Build and operate highly available, secure, and scalable systems, with strong focus on observability and reliability.
• Drive innovation by integrating cutting-edge practices such as MCP tools and AI agents into developer workflows and infrastructure automation.
• Collaborate with cross-functional teams to improve processes, developer experience, and system efficiency.
  
  

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