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# Sr. Infrastructure Engineer (AWS, Azure, Terraform & Automation)

- **Company:** U.S. Bank, National Association
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $119,765.0 - $140,900.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Software Documentation, Software Debugging, Github, Python (Programming Language), Cloud Services, Ansible, Datadog, Policy as Code, Pulumi, System Availability, Software Troubleshooting, Gitlab, Cloudformation, Infrastructure Automation Frameworks, Deployment Automation, Bicep, Bitbucket, Puppet, Terraform
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bbb5abd3ce7a1341

## About the Role

* Bachelor's degree, or equivalent work experience
 * Five to six years of relevant experience, * Strong hands-on experience with AWS or Azure, including compute, storage, networking, and cloud platform services.
 * Advanced expertise in Terraform for infrastructure provisioning, automation, and lifecycle management.
 * Proficiency in Python scripting and automation for cloud operations and platform engineering.
 * Experience with at least one additional IaC/configuration tool such as Ansible, CloudFormation, Pulumi, Bicep, ARM, Chef, or Puppet.
 * Hands-on experience implementing Checkov, Policy-as-Code, governance controls, and compliance automation.
 * Experience building and supporting CI/CD pipelines in GitHub, GitLab, or Bitbucket environments.
 * Strong troubleshooting, debugging, incident response, and root cause analysis skills across cloud and platform environments.
 * Knowledge of Well-Architected principles, security best practices, observability platforms (Datadog preferred), cost optimization, and multi-environment deployment strategies.

## Description

* Design, build, and support cloud infrastructure solutions across AWS and/or Azure environments.
 * Develop, maintain, and optimize Infrastructure as Code (IaC) using Terraform and additional configuration management tools.
 * Create automation solutions and operational tooling using Python to improve platform efficiency and reliability.
 * Implement Policy-as-Code and compliance validation practices using Checkov and cloud governance frameworks.
 * Build, maintain, and enhance CI/CD pipelines using GitHub, GitLab, or Bitbucket.
 * Troubleshoot and resolve complex infrastructure, platform, and production issues using Well-Architected Framework best practices.
 * Drive platform reliability, operational excellence, documentation standards, and continuous improvement initiatives.
 * Collaborate with engineering, security, and platform teams to deliver scalable, secure, and highly available cloud solutions.