Prologis

Senior Cloud & AI Engineer

Prologis
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1 month ago
Denver, CO, USASenior

Base Salary

$121k - $159k/yr

Responsibilities

  • Identify high-friction operational workflows and redesign them using AI, automation, and platform engineering patterns.
  • Build agentic and event-driven workflows for provisioning, remediation, change execution, and support deflection.
  • Implement AI-assisted tooling for incident detection, classification, root cause analysis, and automated remediation.
  • Design self-service infrastructure capabilities using standardized modules, golden paths, reusable components, code, APIs, and internal platforms.
  • Design and operate infrastructure across AWS and Azure using Terraform and CloudFormation.
  • Automate identity and access workflows and troubleshoot complex cloud, networking, identity, and distributed-systems issues.
  • Introduce operational standards and patterns, influence engineering teams, and communicate automation and AI impact through operational metrics.

Requirements

  • Strong experience with AWS services including EC2, Lambda, RDS, S3, DynamoDB, and IAM, as well as Azure.
  • Solid networking fundamentals covering DNS, routing, and security.
  • Experience with infrastructure as code; Terraform is preferred and CloudFormation experience is a plus.
  • Experience with CI/CD pipelines, such as Azure DevOps or similar tools.
  • Strong scripting and programming skills, with Python preferred and Bash or PowerShell experience.
  • Experience with Git workflows, including branching, pull requests, and code review.
  • Experience with authentication and identity systems including SAML, OAuth, Entra ID/Azure AD, and Cognito.
  • Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.
  • Ability to evaluate when AI is appropriate, when deterministic automation is preferable, and how to combine both safely.
  • Familiarity with AI orchestration concepts including tool use, context management, human-in-the-loop patterns, and observability for AI-driven actions.
  • Strong troubleshooting skills across distributed systems and APIs, plus the ability to drive systemic change and influence engineering teams.
  • Preferred: 7+ years of experience in infrastructure, DevOps, cloud engineering, or platform engineering.
  • Preferred experience with agentic AI frameworks, LLM orchestration, AI-driven workflow tools, internal developer platforms, self-service tooling, platform engineering, ServiceNow or similar ITSM platforms, and production systems in enterprise environments.

Benefits

  • Full-time US roles include healthcare, dental, and vision insurance for employees and eligible dependents.
  • 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation.
  • Starting PTO accrual of 22 days per year, plus paid holidays and volunteer time.
  • Additional wellness, financial, and work/lifestyle-specific benefits are offered.
  • Full-time employment in Denver, Colorado, with additional locations listed in the posting.

Tech Stack

Amazon DynamoDBAWSAzureBashGitPowerShellPythonTerraform
Prologis

About Prologis

1,001-5,000 employees
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