DevOps Engineer

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, multi-cloud, micro-services-based platform to help support our cutting-edge AI technology. Collaborating with our research and engineering teams on bleeding-edge 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.

Minimum qualifications:

  • 3+ years experience as a DevOps engineer
  • Demonstrable proficiency in at least one programming language (preferably Python)
  • 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
  • Demonstrable proficiency in Terraform
  • Extensive experience deploying applications on K8s
  • Experience with deep learning frameworks and deep learning production pipelines
  • B.Sc. in computer science or similar technical field

Responsibilities:

  • Develop, deploy, maintain, scale, and monitor our multi-cloud production environment using many different AWS/GCP services
  • 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 toil on the infrastructure team
  • Enhance the production environment security, availability, reliability, and cost optimization
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