Description

What’s the Job?

  • Responsible for leading design and creating a highly efficient, metrics-driven, DevOps working model.
  • Support a Google Cloud Platform (GCP) Project and multiple environments where we are deploying industry-grade Machine Learning and Artificial Intelligence (ML/AI) models; at scale, across high compute, and reliant on big-data services.
  • The critical infrastructure and networking are designed & deployed via Infrastructure as Code (IaC), and backing services orchestrated through Kubernetes (deployed via Helm).
  • You will be responsible for continuous iteration and continuous delivery of models, IaC, and backend services, as well as building a robust pipeline in GCP Cloud Build.
  • Support a Google Cloud Platform (GCP) Project and multiple environments where we are deploying industry-grade Machine Learning and Artificial Intelligence (ML/AI) models; at scale, across high compute, and reliant on big-data services.
  • The critical infrastructure and networking are designed & deployed via Infrastructure as Code (IaC), and backing services orchestrated through Kubernetes (deployed via Helm).
  • You will be responsible for continuous iteration and continuous delivery of models, IaC, and backend services, as well as building a robust pipeline in GCP Cloud Build.

 

What’s Needed?

  • ​Bachelor's degree
  • 7+ years of DevOps & DevSecOps experience
  • 7+ years of Google Cloud Platform Architecture experience
  • 3+ years of Machine Learning experience
  • 3+ years of Kubernetes experience
  • Ability to obtain a public trust clearance (must be a US citizen)

Key Skills
Education

Any Graduate

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