DevOps & Infrastructure Engineer

At Mobileye, we are shaping the future of autonomous driving, a mission that requires infrastructure operating at an unprecedented scale. We are seeking a Senior DevOps Engineer to join the team building and scaling our state-of-the-art Data Platform.

The autonomous vehicle lifecycle generates massive amounts of data, and your challenge will be to engineer the hybrid infrastructure (AWS and on-premises) that makes this data seamlessly accessible to DL/ML developers, validation engineers and analysts. You will leverage a top-notch tech stack - including Kubernetes, big data frameworks, and robust observability tools—to solve complex reliability and scalability challenges head-on.

What will your job look like?

• Directly influence our platform's scalability to support growth and R&D efficiency across both cloud and on-premises environments.
• Own infrastructure projects from research and architectural design to implementation and rollout.
• Lead infrastructure improvements around high availability, resiliency, performance, and FinOps/cost efficiency.
• Develop shared templates, libraries, and standards as infrastructure to empower developers and streamline CI/CD delivery.
• Evaluate and implement new technologies that upgrade our hybrid infrastructure posture and observability.
• Serve as a technical expert in infrastructure decisions, taking ownership, sharing knowledge, and driving engineering excellence across the team.
  
  

• BSc in Computer Science or equivalent practical experience.
• 5+ years of hands-on experience as a DevOps or Cloud Engineer in high-scale production environments.
• Experience managing, maintaining, and scaling robust on-premises infrastructure alongside cloud-based platforms.
• Proven experience implementing robust observability stacks using tools like Prometheus, Grafana, Coroot, Elasticsearch, Coralogix, etc.
• Deep, hands-on expertise with AWS services, specifically: Access policies (IAM), Networking topology, S3, RDS, ElastiCache, and EKS.
• Advanced understanding of K8s cluster architecture and the deployment of tools for better cluster visibility and management.
• Strong hands-on coding skills in Python or TypeScript to develop and maintain resources (AWS CDK is highly preferred).