Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering

Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering Skip to main content

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Cookie Policy#Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering page is loaded## Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering Apply locations:
Denver, Colorado time type:
Full time posted on:
Posted 20 Days Agotime left to apply:
End Date:
September 23, 2026 (30+ days left to apply) job requisition :
R6643

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.
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* Job Title:

** Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
** Company:
** Prologis## A day in the life

This role helps Cloud and Systems Engineering modernize enterprise operations by redesigning repetitive workflows into reliable automation, self-service capabilities, and AI-assisted operating patterns. They will work across cloud infrastructure, systems administration, identity, endpoints, networking, and end-user computing to improve reliability, speed, and engineering leverage. The role partners with engineering teams to evaluate where agentic automation, deterministic automation, or human-in-the-loop controls are the right fit for enterprise-scale operations.

They will introduce standards, reusable components, and measurement practices that reduce manual requests and improve operational outcomes across the broader technology estate.##

Key responsibilities include:

* Redesign high-friction operational workflows using AI, automation, and platform engineering patterns that reduce manual work and improve reliability.
* Build agentic and event-driven workflows for provisioning, remediation, change execution, incident support, and support deflection with appropriate safety controls.
* Establish standards for safe AI use in cloud operations, including observability, human-in-the-loop controls, auditability, and rollback practices.
* Design and deliver self-service infrastructure capabilities using standardized modules, golden paths, reusable components, code, APIs, and internal platforms.
* Design, operate, and troubleshoot AWS and Azure infrastructure using infrastructure-as-code, serverless, event-driven, and cloud-native architectures.
* Automate identity, access, endpoint, and end-user computing workflows across systems such as Entra , Intune, SAML/OAuth, Cognito, and AWS Work Spaces.
* Influence engineering teams by introducing new patterns, standards, operating model improvements, and metrics that communicate the impact of automation and AI adoption.## Building blocks for success##

Required:

* Experience designing and operating infrastructure across AWS and Azure.
* Experience with AWS services such as EC2, Lambda, RDS, S3, DynamoDB, and IAM.
* Experience using infrastructure-as-code, including Terraform or Cloud Formation.
* Experience building or supporting CI/CD pipelines, such as Azure Dev Ops or similar platforms.
* Proficiency with Python scripting or programming.
* Ability to troubleshoot complex issues across cloud, networking, identity, APIs, and distributed systems.
* Experience with identity and endpoint management systems, including SAML, OAuth, Entra  Azure AD, and Intune.
* Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.
* Ability to evaluate…