Senior Devops Engineer

Tel Aviv

About The Position

Aidoc is the market leader in Healthcare AI. We deliver the most widely used portfolio of AI solutions to help physicians prioritize life threatening cases and improve patient outcomes. Aidoc’s solutions are in use in over 900 hospitals including the leading health systems in the US. Aidoc is funded by top VCs, having raised more than $140 million to date, and was chosen as one of TIME’s 50 most genius companies.

Responsibilities

  • You will work in collaboration with the Dev, Data Engineering and AI teams to empower them with the right infrastructure to achieve the company’s goals. 
  • You will receive end-to-end ownership for core parts of our operation:
  • CI/CD pipelines of the company’s products and infrastructure
  • The company’s entire cloud production infrastructure, including advanced cloud infra on AWS, with data pipelines, serverless deployments and container orchestration
  • Application and infrastructure monitoring solutions 
  • Automations for big-data pipelines and processes
  • You will be trusted with autonomy, freedom and influence to design solutions and make technical decisions, in a critical position for the company’s growth.
  • You will work in a unique professional culture championing close work between Dev and DevOps and ownership. We’re literally tackling the challenges of bringing cutting edge cloud-based services to the healthcare world

Requirements

  • Passion for elegant and effective technological solutions
  • Accountability and ownership - doing whatever it takes for the company to succeed 
  • Independent learning capability and curiosity without boundaries
  • At least 2-3 years of experience 
  • Experience in designing and building cloud-based solutions 
  • Working on systems with complex release or business flows
  • Solid programming and scripting skills

Advantage for:

  • Experience with Terraform
  • Strong knowledge of docker framework
  • Container orchestration solutions (e.g. Kubernetes)
  • Infrastructure for high scale training and inference with DL models
  • Experience and passion for developing CI/CD and release flow pipelines, allowing the organization to move fast and reliably
  • Excellent knowledge of either Linux or Windows

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