Cloud Systems Architect – AI, Data & DevOps

LE0010 Stanford Health Care

Palo Alto (CA)

On-site

USD 165,000 - 218,000

Full time

14 days+
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Job summary

Stanford Health Care in Palo Alto seeks a Principal System Engineer – Cloud Services to lead design, deployment and optimization of cloud infrastructure across AWS/Azure/GCP to support AI/ML workloads and modern applications.

You will drive IaC with Terraform and CI/CD using GitHub Actions or Azure DevOps, ensuring security compliance, monitoring performance, and collaborating with data engineering teams to optimize pipelines and Databricks environments.

Qualifications

  • Seven (7) years of progressively responsible and directly related work experience required.
  • BS degree in Information Technology, Information Systems, Business Management, Business Analytics, Business Administration or a directly related field from an accredited college or university.

Responsibilities

  • Design, implement, and manage scalable cloud infrastructure (AWS/Azure/GCP).
  • Create business cases for new technology solutions and AI initiatives; collaborate with data engineering teams.
  • Enable and maintain CI/CD pipelines and IaC practices using Terraform, GitHub Actions, or Azure DevOps.
  • Provide technical support and resolve cloud-related issues; perform root cause analysis.
  • Monitor cloud services to ensure performance and security; optimize costs.
  • Ensure security policies and compliance standards are met in cloud environments.
  • Develop automation scripts to streamline cloud operations.
  • Maintain documentation of cloud configurations, procedures, and policies; report on usage, performance, and security.

Skills

Cloud platforms
CI/CD
IaC
Security & compliance
Networking
Automation
Monitoring & optimization
Documentation

Education

BS degree in IT / related field

Tools

Terraform
GitHub Actions
Azure DevOps
Docker
Kubernetes

Job description

Stanford Health Care in Palo Alto seeks a Principal System Engineer – Cloud Services to lead design, deployment and optimization of cloud infrastructure across AWS/Azure/GCP to support AI/ML workloads and modern applications.

You will drive IaC with Terraform and CI/CD using GitHub Actions or Azure DevOps, ensuring security compliance, monitoring performance, and collaborating with data engineering teams to optimize pipelines and Databricks environments.

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