Prologis
Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
Denver, Colorado · Senior · Contract
Sponsorship not specified$121k-$159kDetected 26 days ago
PythonBashGitDynamoDBAWSAzureCloud PlatformsTerraformCI/CDDevOpsPlatform EngineeringOAuthLLMsAgentic AIAI OrchestrationLogisticsSystems Engineering
About the role
- From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably.
- They will work across cloud infrastructure, systems administration, identity, endpoints, networking, and end-user computing to improve reliability, speed, and engineering leverage.
- They will introduce standards, reusable components, and measurement practices that reduce manual requests and improve operational outcomes across the broader technology estate.
Responsibilities
- Build agentic and event-driven workflows for provisioning, remediation, change execution, incident support, and support deflection with appropriate safety controls.
- 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.
Requirements
- 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 CloudFormation.
- 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 ID or Azure AD, and Intune.
- Ability to evaluate when AI, deterministic automation, or combined approaches are appropriate for safe enterprise operations.
- Experience applying Git workflows, including branching, pull requests, and code review.
Nice to have
- 7+ years of experience in infrastructure, DevOps, cloud engineering, or platform engineering.
- Experience with Bash or PowerShell.
- Experience with agentic AI frameworks, LLM orchestration, or AI-driven workflow tools such as OpenAI Agents SDK, LangChain, n8n, or MCP.
- Experience with internal developer platforms, self-service tooling, or platform engineering practices.
- Experience with ServiceNow or similar ITSM/workflow platforms.
- Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed.
- Exercises sound judgment, creative thinking, and accountability for outcomes.
Skills
- Senior IT Cloud Engineer - AI Driven Operations & Platform Engineering
Compensation
- Salary and whole compensation package (bonus target & LTI (Long Term Incentives)) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
- Each of us working at Prologis plays an essential role in the enduring success of our company.
- We value people who are decisive, courageous and adaptable.
- While we are one company, locations and departments operate with autonomy and accountability.
- Individuals take the initiative here.
- When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career.
Benefits
- And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development.
- All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents.
- Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits.
- We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
Company info
- 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.
- 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.
- A day in the life
- include:
- Redesign high-friction operational workflows using AI, automation, and platform engineering patterns that reduce manual work and improve reliability.
- Establish standards for safe AI use in cloud operations, including observability, human-in-the-loop controls, auditability, and rollback practices.
- Automate identity, access, endpoint, and end-user computing workflows across systems such as Entra ID, Intune, SAML/OAuth, Cognito, and AWS WorkSpaces.
- 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
- Experience building or supporting CI/CD pipelines, such as Azure DevOps or similar platforms.
- Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.
- Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
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This listing is sourced directly from Prologis's careers page and normalized into a canonical job model.