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.
All you need is:
- 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).
Skills Required
- BSc in Computer Science or equivalent practical experience
- 5+ years hands-on experience as a DevOps or Cloud Engineer in high-scale production environments
- Experience managing, maintaining, and scaling on-premises infrastructure alongside cloud-based platforms
- Proven experience implementing observability stacks (Prometheus, Grafana, Coroot, Elasticsearch, Coralogix, etc.)
- Deep, hands-on expertise with AWS services: IAM, networking topology, S3, RDS, ElastiCache, and EKS
- Advanced understanding of Kubernetes cluster architecture and cluster visibility/management tools
- Strong hands-on coding skills in Python or TypeScript
- Experience with AWS CDK
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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