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Ai Devops Engineer Jobs in Colorado (NOW HIRING)

DevOps Engineer, Senior

Aurora, CO · On-site

$77K - $176K/yr

DevOps Engineer, Senior The Opportunity: We're seeking a DevOps Engineer who is motivated by ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Colorado Springs, CO · On-site

$49.25 - $67.50/hr

We are seeking a highly skilled and motivated Cloud DevOPS Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our on-prem hyperconverged ...

DevOps Engineer

Denver, CO · Remote

$54.25 - $74.25/hr

We're looking for a DevOps Engineer who enjoys solving complex infrastructure challenges, automating everything possible, and building secure, scalable cloud platforms. You'll play a key role in ...

DevOps Engineer

Denver, CO · On-site

$54.25 - $74.25/hr

📌 W2 Candidates Only 📌 USC & GC Preferred Job Summary We are seeking a DevOps Engineer to support the design, implementation, and maintenance of cloud infrastructure, automation frameworks, and ...

DevOps Engineer

Denver, CO

$54.25 - $74.25/hr

We're looking for a DevOps Engineer who enjoys solving complex infrastructure challenges, automating everything possible, and building secure, scalable cloud platforms. You'll play a key role in ...

DevOps Engineer

Denver, CO · On-site

$54.25 - $74.25/hr

We're looking for a DevOps Engineer who enjoys solving complex infrastructure challenges, automating everything possible, and building secure, scalable cloud platforms. You'll play a key role in ...

DevOps Engineer

Denver, CO · Remote

$54.25 - $74.25/hr

We\'re looking for a DevOps Engineer who enjoys solving complex infrastructure challenges, automating everything possible, and building secure, scalable cloud platforms. You\'ll play a key role in ...

DevOps Engineer

Denver, CO · Hybrid

$54.25 - $74.25/hr

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Staff DevOps Engineer

Denver, CO · Hybrid

$133K - $171K/yr

The Senior Staff DevOps Engineer continuously implements AI Ops practices, leveraging AWS Agent Core to design and deploy agentic workflows that automate repetitive pipeline operations, intelligent ...

DevOps Engineer

Colorado Springs, CO · On-site

$52 - $71.25/hr

Job Summary The DevOps Engineer is responsible for designing, implementing, and managing cloud infrastructure while developing automation solutions that support software deployment, system ...

DevOps Engineer-III

Colorado Springs, CO · On-site

$52 - $71.25/hr

We are seeking a DevOps Engineer-III to lead infrastructure automation, CI/CD pipeline development, and system optimization. This senior-level role involves designing scalable and secure DevOps ...

Senior Staff DevOps Engineer

Denver, CO · On-site

$133K - $171K/yr

The Senior Staff DevOps Engineer continuously implements AI Ops practices, leveraging AWS Agent Core to design and deploy agentic workflows that automate repetitive pipeline operations, intelligent ...

DevOps Engineer-III

Colorado Springs, CO

$52 - $71.25/hr

We are seeking a DevOps Engineer-III to lead infrastructure automation, CI/CD pipeline development, and system optimization. This senior-level role involves designing scalable and secure DevOps ...

Cloud DevOps Engineer

Aurora, CO · On-site

$53.75 - $73.50/hr

Cloud DevOps Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a skilled and proactive Cloud DevOps ...

Showing results 41-60

Ai Devops Engineer information

See Colorado salary details

$17

$63

$90

How much do ai devops engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai devops engineer in Colorado is $63.65, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps engineer?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Colorado?

For Ai Devops Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Colorado look for?

The top searched job categories for Ai Devops Engineer jobs in Colorado are:

Infographic showing various Ai Devops Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,395 per year, or $63.7 per hour.

DevOps Engineer, Senior

Booz Allen Hamilton

Aurora, CO • On-site

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 hours ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

DevOps Engineer, Senior

The Opportunity:

We're seeking a DevOps Engineer who is motivated by mission impact and ready to support some of the most critical systems in the space domain. In this role, you'll work at the heart of ground system architectures that enables space operations, data flow, and realtime decisionmaking when precision and reliability are nonnegotiable.

You'll take the lead in modernizing and improving existing architectures, designing automation, deployment pipelines, and resilient infrastructure that strengthen the performance and mission systems. Your work will directly influence how ground systems evolve to meet emerging challenges across the space domain.

This role is built for someone who thrives on complexity, embraces innovation, and understands the responsibility of supporting systems that must operate flawlessly. If you're driven by purpose, energized by hard problems, and ready to build solutions that make a measurable difference in space mission success, we want to meet you.

Join us. The world can't wait.

You Have:

  • 7+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments

  • 4+ years of experience developing enterprise cloud-native solutions, including Kubernetes or Docker

  • 3+ years of experience developing and maintaining CSP tools such as AWS, Azure, Google, and Oracle

  • 3+ years of experience using Infrastructure as Code (IaC) and Configuration as Code (CaC) tools

  • Experience developing, managing, and securing containers

  • Experience working with application development teams across the software development lifecycle and creating solutions to complex problems within a collaborative team environment

  • TS/SCI clearance with a polygraph

  • HS diploma or GED

Nice If You Have:

  • Experience in operating within an Agile environment

  • Experience with triaging and resolving issues related to both open source and commercial tools in public cloud environments

  • Experience in acquiring client requirements and resolving workflow problems through automation optimization

  • Ability to work with automated testing tools to perform testing and maintenance

  • Master's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914