Careers
DevOps Engineer
About The Position
As a DevOps Engineer, you will be part of a top-notch team that is ushering in a new paradigm of AI that is accelerating the performance of deep learning models. You will be taking full ownership of our rapidly growing, in-house training and inference infrastructure to help support our cutting-edge AI technology. Collaborating with our research and engineering teams on the latest hardware and software frameworks, you’ll be building the next-generation of AI. This job requires an ownership mindset and a hands-on, can-do approach while working across multiple projects and technologies.
Requirements
- 5+ years experience as a DevOps Engineer
- 3+ years of Linux system administration
- In-depth understanding of Linux systems internals, containers, cloud environments, and networking
- Experience with development and CI/CD tools and methodologies (Git, Jenkins)
- Familiarity with containers and Kubernetes
- Experience with operations on AWS/GCP
- Strong analytic and troubleshooting skills
Preferred qualifications
- Experience at a SaaS/AI company or in an IDF technological unit
- Extensive experience building and maintaining On-Premise servers - Preferably HPC
- Experience with IOT devices and custom ASICs
- Experience with deep learning frameworks and deep learning training pipelines
- B.Sc. in Computer Science or similar technical field
Responsibilities
- Develop, deploy, maintain, scale, and monitor our on-premise Deep Learning training research and development environment
- Design, deploy and maintain our configuration management and orchestration infrastructure
- Work closely with developers and researchers across the company to design and deliver new features, applications, and services
- Automate everything by developing tools and processes to reduce the operational overhead of the infrastructure team
- Enhance the production and development environments’ security, availability, reliability, and cost optimization