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.

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).

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!