Top 48 Senior cloud infrastructure engineer Jobs in Denver, Co

Senior Cloud & AI Engineer
Prologis —Denver, CO
- $121,000 - $159,000 a year
- Full-time
- DevOps
- APIs
- Senior level
- Paid holidays
- Health insurance
Senior Platform Engineer, Infrastructure
True Anomaly —Denver, CO
- $175,000 - $260,000 a year
- Hybrid work
- Azure
- Office
- Mentoring
- Health savings account
- Paid holidays
Senior DevOps Engineer
True Anomaly —Denver, CO
- $150,000 - $225,000 a year
- 6 years
- System design
- Office
- Health savings account
- Paid holidays
9d
Senior DevOps Cloud Engineer
DNU_FIS Management Services LLC (Use Worldpay, LLC) —Denver, CO
- $108,200 - $163,400 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick Apply
Senior Cloud Infrastructure Engineer
Loft Orbital Solutions —Golden, CO
- $180,000 - $240,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Java
- Paid parental leave
- Health savings account
Senior Infrastructure & Cloud Modernization Engineer
Arcfield —Louisville, CO
- $124,321.85 - $216,171.58 a year
- Full-time
- Remote
- Azure
- Bachelor of Science
- 11+ years
- Paid holidays
- Disability insurance
Senior Infrastructure Engineer
Komodo Health —Denver, CO
- $176,000 - $210,000 a year
- On call
- Hybrid work
- System design
- HIPAA
- AWS
Quick Apply
6d
Senior DevOps Engineer
Global Medical Response —Greenwood Village, CO
- $130,000 - $137,000 a year
- Full-time
- 7 years
- Azure
- HIPAA
- Health savings account
- Health insurance
Senior DevOps Engineer
Applied Research Solutions —Littleton, CO
- $180,000 - $220,000 a year
- Azure
- System design
- AWS
Quick Apply
Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
Prologis —Denver, CO
- $121,000 - $159,000 a year
- Full-time
- 7 years
- DevOps
- APIs
- Paid holidays
- Health insurance
Sr. Platform Infrastructure Engineer
Vantor Inc. —Westminster, CO
- $128,000 - $187,000 a year
- Full-time
- Azure
- Computer Science
- Office
- 401(k) matching
- Pet insurance
Quick Apply
Principal Platform Engineer — Kubernetes & Cloud Infrastructure
Ombud —Denver, CO
- On call
- Office
- 3 years
- Linux
Quick Apply
Senior Platform Engineer
Simplesense —Denver, CO
- $155,000 - $195,000 a year
- Call employer
- Travel
- Mentoring
- Senior level
- AD&D insurance
- Disability insurance
Quick Apply
Senior Cloud Platform Engineer
KBI Biopharma —Boulder, CO
- $112,480 - $154,660 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Health insurance
Senior Cloud Network Engineer
Simplesense —Denver, CO
- $155,000 - $195,000 a year
- Call employer
- System design
- Travel
- Mentoring
- AD&D insurance
- Disability insurance
Quick Apply
12d
Senior Platform Engineer
Epsilon ASI —Denver, CO
- Full-time
- Hybrid work
- 3 years
- AWS
- Analysis skills
Quick Apply
5d
Senior Cloud Systems Engineer
Lunar Outpost —Golden, CO
- $105,000 - $145,000 a year
- Full-time
- 5 years
- Senior level
- Paid holidays
- Health insurance
Quick Apply
Senior Software Engineer, Infrastructure/Developer Tooling (Hybrid)
Homebase —Denver, CO
- $133,800 - $157,500 a year
- Full-time
- Hybrid work
- Background check
- 5 years
- AWS
- Commuter assistance
- Paid parental leave
Senior Manager, DevOps
ModivCare Solutions, LLC —Denver, CO
- $140,000 - $185,000 a year
- Full-time
- Computer Science
- 8 years
- AWS
- Paid parental leave
- AD&D insurance
Quick Apply
Senior Platform Engineer
Sumup —Boulder, CO
- $160,000 - $185,000 a year
- Full-time
- 8 years
- JavaScript
- Senior level
- Health insurance
- 401(k)

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senior cloud infrastructure engineer jobs near denver, co

Senior Cloud & AI Engineer

Prologis -
Denver, CO

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Job Details

Full-time
$121,000 - $159,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching

Qualifications

AWS IAM
Cloud identity and access management (IAM)
AI use case identification
System troubleshooting
Infrastructure as Code (IaC)
Process design
Engineering process optimization
Azure AD
DNS
APIs
S3
Cloud automation
Process improvement planning
DynamoDB
Distributed computing
DevOps automation
AI-driven automation
RDS database
Active Directory
Providing code feedback

Full Job Description

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.

Job Title:

Senior Cloud & AI Engineer

Company:

Prologis

A day in the life

We are seeking a senior cloud engineer who combines deep infrastructure engineering expertise with an AI-first mindset. This role will help transform how Cloud Engineering operates — replacing repetitive work with intelligent automation, agentic workflows, and self-service platforms. The right candidate will not simply automate existing tasks; they will challenge current ways of working, redesign operational processes, and build scalable patterns that improve reliability, speed, and engineering leverage across the team.

This is a change-agent role. You will work at the intersection of cloud infrastructure, platform engineering, and applied AI — evaluating where agentic automation can replace manual toil, where deterministic automation is the right answer, and how to combine the two safely at enterprise scale.

Key responsibilities include:

AI & Agentic Automation

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.
Establish engineering standards for safe AI use in cloud operations — including observability, human-in-the-loop controls, auditability, and rollback.
Implement AI-assisted tooling for incident detection, classification, root cause analysis, and automated remediation.
Demonstrate 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.

Platform Engineering & Self-Service

Design and build self-service infrastructure capabilities using standardized modules, golden paths, and reusable components.
Enable teams to provision, manage, and operate infrastructure through code, APIs, and internal platforms — reducing dependency on manual requests and ticket-driven workflows.

Cloud Infrastructure & Reliability

Design and operate infrastructure across AWS and Azure using infrastructure-as-code (Terraform, CloudFormation).
Build scalable systems using serverless, event-driven, and cloud-native architectures.
Automate identity and access workflows (Entra ID, SAML/OAuth, Cognito).
Troubleshoot complex issues across cloud, networking, identity, and distributed systems.

Operating Model & Change Leadership

Challenge existing operational processes and propose improvements that increase engineering leverage.
Influence engineering teams by introducing new patterns, standards, and ways of working.
Measure and communicate the impact of automation and AI adoption on operational metrics.

Building blocks for success

Required:

Cloud & Infrastructure

Strong experience with AWS (EC2, Lambda, RDS, S3, DynamoDB, IAM) and Azure.
Solid networking fundamentals (DNS, routing, security).
Infrastructure as Code — Terraform preferred, CloudFormation experience a plus.
CI/CD pipelines (Azure DevOps or similar).
Strong scripting and programming — Python preferred; Bash, PowerShell.
Experience with Git workflows (branching, pull requests, code review).
Experience with authentication and identity systems (SAML, OAuth, Entra ID / Azure AD).

AI & Automation Fluency

Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases.
Ability to evaluate when AI is the right tool, where deterministic automation is better, and how to combine the two safely.
Demonstrated ability to apply AI tooling to reduce operational overhead — not just using copilots, but building AI into systems and processes.
Familiarity with AI orchestration concepts: tool use, context management, human-in-the-loop patterns, observability for AI-driven actions.

Mindset & Influence

Strong troubleshooting instincts across distributed systems and APIs.
Ability to identify inefficiencies and drive systemic change — not just automate what exists, but question whether it should exist.
Ability to influence engineering teams and introduce new patterns, standards, and ways of working.

Preferred:

7+ years in infrastructure, DevOps, cloud engineering, or platform engineering.
Experience with agentic AI frameworks, LLM orchestration, or AI-driven workflow tools (e.g., OpenAI Agents SDK, LangChain, n8n, MCP).
Experience with internal developer platforms, self-service tooling, or platform engineering practices.
Familiarity with ServiceNow, or similar ITSM/workflow platforms.
Experience supporting production systems in enterprise environments.

Hiring Salary Range of: $121,000 - $159,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

People First

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. Every employee belongs. Every employee contributes. Employees advance their careers here.

As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. 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. People come first here.

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. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type:

Full time

Location:

Denver, Colorado

Additional Locations:

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Refine Your Search

senior cloud infrastructure engineer jobs in denver, co

Senior Cloud & AI Engineer

Senior Platform Engineer, Infrastructure

Senior DevOps Engineer

Senior DevOps Cloud Engineer

Senior Cloud Infrastructure Engineer

Senior Infrastructure & Cloud Modernization Engineer

Senior Infrastructure Engineer

Senior DevOps Engineer

Senior DevOps Engineer

Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering

Sr. Platform Infrastructure Engineer

Principal Platform Engineer — Kubernetes & Cloud Infrastructure

Senior Platform Engineer

Senior Cloud Platform Engineer

Senior Cloud Network Engineer

Senior Platform Engineer

Senior Cloud Systems Engineer

Senior Software Engineer, Infrastructure/Developer Tooling (Hybrid)

Senior Manager, DevOps

Senior Platform Engineer

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