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Ai Devops Engineer Jobs in Raleigh, NC (NOW HIRING)

DevOps Engineer

Raleigh, NC · Hybrid

$51.25 - $70.25/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 ...

DevOps Engineer

Apex, NC · On-site

$120K - $160K/yr

We are continuing to grow, and are looking for a DevOps Engineer to join our team. Decentralized Computing: Subject matter expert to ensure platform decentralized infrastructure deployment ...

Senior DevOps Engineer

Raleigh, NC · Remote

$126K - $162K/yr

Embed AIassisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate ... use of AI You'll be rewarded and recognized for your performance in an environment that will ...

Senior DevOps Engineer

Durham, NC · Hybrid

$125K - $161K/yr

Senior DevOps Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the ...

DevOps Engineer - Raleigh

Raleigh, NC · On-site

$51.25 - $70.25/hr

They are seeking a motivated DevOps Engineer to manage public cloud services, enhance DevOps practices, and support their real-time syndicated loan data platform. Responsibilities : • Facilitate ...

We are seeking an AI Developer to design and build AIpowered solutions using Microsoft's AI ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...

Azure DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Devops. Preferred Skill and Experience • Hands-on experience with Terraform and Ansible for ...

DevOps Engineer

Durham, NC · On-site

$51 - $69.75/hr

Mvn, Gradle, Npm, pip · Experience with git (and implementations like bitbucket/gitlab/GitHub), and with repositories such as Artifactory. · Developer oriented mindset with ability to design ...

As part of an AI-first company, this role must also demonstrate applied AI impact by embedding AI into DevOps workflows in ways that measurably improve speed, reliability, scalability, and overall ...

Senior DevOps Engineer

Raleigh, NC

$126K - $162K/yr

SENIOR DEVOPS ENGINEER - HEALTHCARE IT LOCATION REQUIREMENT: This is a HYBRID position based in the Triangle area (Durham, Chapel Hill, Raleigh, NC). Candidates MUST be local and willing to work in ...

Azure DevOps

Raleigh, NC · On-site

$49.25 - $67.50/hr

... s Engineer Expert), AZ-104 Kubernetes certifications: CKA / CKAD Experience with IaC tools: Terraform, Bicep, ARM templates Exposure to DevSecOps tools (SonarQube, Snyk, etc.) Experience with service ...

HPC DevOps Engineer

Chapel Hill, NC

$45 - $61.50/hr

The HPC DevOps Engineer will have a broad role within Research Computing at UNC Chapel Hill, designing, deploying, operating and maintaining services and solutions in support of leading -edge ...

What You'll Do Avalara is scaling an AI-first automation ecosystem where tools like n8n and other ... To do this safely and at scale, we need a DevOps leader who will design, set up, deploy, and run ...

AWS DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

AWS DevOps Engineer Category: Project Management Main location: United States, North Carolina, Raleigh Position ID:J0726-0775 Employment Type: Full Time U.S. - The best version of me By playing this ...

Showing results 21-40

Ai Devops Engineer information

See Raleigh, NC salary details

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$58

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How much do ai devops engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai devops engineer in Raleigh, NC is $58.84, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $67.55 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 job categories do people searching Ai Devops Engineer jobs in Raleigh, NC look for? The top searched job categories for Ai Devops Engineer jobs in Raleigh, NC are:
Infographic showing various Ai Devops Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $122,386 per year, or $58.8 per hour.

DevOps Engineer

WalkMe

Raleigh, NC • Hybrid

$51.25 - $70.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

Industry leader? Well, how about an industry creator?!
 
At WalkMe, now an SAP company, we're not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to pinpoint and resolve digital friction, regain control of their tech stack, and be better equipped to manage future change. With over 1,600 clients, including 55 Fortune 100 companies and 6 Fortune 10 companies working with us daily, we're transforming how enterprises interact with their technology.
 
So, if you're an expert in your field, and looking for an opportunity to work, collaborate, and innovate with some of the most talented people out there, WalkMe is the place for you!

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing WalkMe's revolutionary runtime engine and transforming the online experience for hundreds of millions of users. 
 
If you're excited about developing and working on innovative products, solving technical challenges, and being part of a company that is now proudly a member of the SAP family-WalkMe is the place for you.
 
As this role will support our Federal business, US Citizenship is required.
 
This role will require working on Sunday's as needed. Will be able to take another day off that week.
What You'll Own
  • Assist in managing deployment pipelines to facilitate smooth and efficient software releases.
  • Help implement and maintain observability solutions for monitoring system performance and reliability.
  • Support local development environments to optimize developer workflows.
  • Work with development teams to ensure infrastructure aligns with project requirements.
  • Contribute to improving the security of our infrastructure by assisting with proactive measures and audits.
  • Assist in developing and maintaining automation scripts and tools to enhance operational efficiency.
  • Help troubleshoot and resolve infrastructure and application issues to minimize downtime and maintain smooth operations.
  • Participate in evaluating and integrating new technologies to enhance the scalability, reliability, and security of our infrastructure.
What You Need to Succeed
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 4+ years of experience as a DevOps Engineer, Site Reliability Engineer or similar role
  • Proven Software development experience, preferably gained at a venture-backed startup or a top technology firm.
  • Expertise in managing CI/CD pipelines and deployment automation with tools such as Gitlab.
  • Proficiency in AWS cloud platform.
  • Solid understanding of containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, or similar.
  • Knowledge of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
  • Experience in managing databases, such as Mysql, Postgres and MongoDB.
  • Familiarity with security best practices and tools for infrastructure and application security.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Strong communication skills and the ability to work effectively in a collaborative environment.
  • A proactive and self-motivated approach to learning and adopting new technologies.
  • Passion for continuous improvement and operational excellence.
What Sets Us Apart
  • At WalkMe, we are dedicated to building a workforce that reflects the diversity of our global community and clients we serve through inclusive programs and initiatives including equal pay, employee resource groups, holistic benefits and more.  We are committed to fostering an inclusive culture which celebrates the unique experiences and perspectives each Team Member brings to the workplace.
  • Hybrid Work Arrangement: We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential connections and collaborations of onsite work.
  • Supportive Culture: We focus on the whole person, celebrating what makes us unique, and create space for community.
  • Professional Development: We encourage continuous learning and offer opportunities for career development through our career compass offering.
  • Stay healthy and happy with Wellness@WalkMe! Enjoy quarterly wellness reimbursements, daily BrightBreaks to recharge, and WalkMe's annual Wellness Month every July-because your well-being matters all year long.
  • WalkMe provides health coverage options, where applicable, to ensure employees have access to essential medical benefits. Our offerings are designed to support the well-being and diverse needs of our global workforce.
  • WalkMe offers a generous annual leave policy tailored to meet regional standards, ensuring all employees enjoy sufficient time off to rest and recharge.
  • WalkMe offers RefreshMe Days throughout the year to further strengthen our commitment to work/life balance.
  • Robust Retirement Contributions: Ask HR about the specific offerings for your region!
  • SAP's acquisition of WalkMe highlights a commitment to enhancing user experience and streamlining software interactions, offering opportunities to work with cutting-edge technology that drives efficiency and innovation in the workplace.
Our job titles may span more than one career level. The base salary for this position is between $100,000-$160,000. The actual base pay is dependent upon many factors, such as: location, training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus and benefits as part of our competitive total rewards package.

At WalkMe, we approach Diversity, Equity and Inclusion (DEI) with the same level of collaboration, innovation and accountability that we bring to the rest of our business. We believe in the value of diversity and are committed to ensuring an equitable and inclusive workplace where every employee has an equal opportunity to achieve success.
 
WalkMe does not discriminate. If a candidate requires a reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact your Talent Acquisition partner immediately.
 
TO ALL RECRUITMENT AGENCIES: WalkMe does not accept agency resumes. Please do not forward resumes to WalkMe employees or any other company location. WalkMe is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company for this specific role.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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