Verily

Cloud Engineer III

Verily
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2 months ago
Raleigh, NC, USASenior

Base Salary

$128k - $192k/yr

Responsibilities

  • Design and implement scalable, secure, reliable, and cost-efficient cloud infrastructure using automation tools.
  • Identify functional and nonfunctional cloud infrastructure requirements.
  • Apply cloud architecture standards, policies, and guidelines while supporting data privacy, regulatory compliance, consistency, and reliability.
  • Automate infrastructure and cloud operations for Verily products on GCP and other cloud providers using Infrastructure as Code.
  • Develop self-service workflows to reduce repetitive cloud operations toil.
  • Establish observability systems and lead incident management processes to support 99.9% or higher availability.
  • Develop technical and design documentation, training materials, and organizational guidance for cloud technologies and practices.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field.
  • At least 2 years of experience with public cloud platforms such as GCP or AWS and large-scale cloud operations.
  • At least 2 years of experience managing cloud infrastructure with Infrastructure as Code and GitOps tools.
  • At least 1 year of experience with Go, Python, or Shell and implementing scalable, reliable, and secure cloud network solutions.
  • At least 1 year of experience establishing observability systems and leading incident management processes.
  • Preferred: hands-on GCP experience, Certified Kubernetes Administrator qualification, deep understanding of Kubernetes internals, and familiarity with Atlantis or Terraform Cloud.
  • Strong written and verbal communication skills and technical or design documentation experience.

Tech Stack

Categories

Verily

About Verily

1,001-5,000 employees

Verily builds AI-enabled precision health software and data platforms for health systems, life sciences, and public health organizations. Its products organize multimodal clinical data, support regulated research and clinical studies, and power disease-management and population-health workflows. Founded in 2015, the company sells software and services that make healthcare data AI-ready and interoperable across care, research, and public-health use cases.

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