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Devops Ai Jobs in Raleigh, NC (NOW HIRING)

Versana

DevOps Engineer - Raleigh

Raleigh, NC · On-site

$51.25 - $70.25/hr

Versana is looking for a motivated DevOps Engineer to join our Platform Engineering squad. The ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Versana

DevOps Engineer - Raleigh

Raleigh, NC · On-site

$51.25 - $70.25/hr

Versana is looking for a motivated DevOps Engineer to join our Platform Engineering squad. The ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Infosys Limited Digital

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 ...

Infosys

Azure DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ... operational excellence. Join us to be part of a pioneering team that is at the forefront of ...

Bright Vision Technologies

DevOps & SRE Engineer

Apex, NC · Remote

$100K - $150K/yr

... AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to ... Job Title: DevOps & SRE Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 ...

Lindsay & Brownell

AI Engineer

Raleigh, NC · On-site

This role goes beyond traditional DevOps-it's about engineering AI into the fabric of enterprise operations, enabling secure, observable, and governed machine learning deployments that deliver real ...

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Devops Ai information

See Raleigh, NC salary details

$15

$58

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How much do devops ai jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for devops ai in Raleigh, NC is $58.84, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $67.55 per hour, depending on experience, location, and employer.

What is the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

What are popular job titles related to Devops Ai jobs in Raleigh, NC? For Devops Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Devops Ai jobs in Raleigh, NC look for? The top searched job categories for Devops Ai jobs in Raleigh, NC are:
Devops Ai jobs near you
Infographic showing various Devops Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,393 per year, or $58.8 per hour.

DevOps Engineer - Raleigh

Versana

Raleigh, NC • On-site

$51.25 - $70.25/hr

Full-time

Re-posted 21 days ago

Job description

 
About Us:
 
Versana is an industry-backed data and technology company on a mission to make the syndicated loan market better. By digitally capturing agent banks' data on a real-time basis, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our centralized platform, participants can rest assured they are accessing the loan market's most credible source of deal information. With the support of our investors, Versana is fast becoming the technology of choice to usher in the long-awaited transformation of the syndicated loan market.
 
About You:
 
Versana is looking for a motivated DevOps Engineer to join our Platform Engineering squad. The squad's goal is to manage public cloud, manage and improve DevOps practices and help support Versana's real-time syndicated loan data platform. The ideal candidate will have a deep understanding of DevOps practices, cloud-native applications, distributed computing, CI/CD implementation.
 
Key Responsibilities:
 
      Facilitate application modernization through DevOps practices and CI/CD toolchain implementation. 
      Continually optimize systems and workflows by improving architecture, infrastructure, automation, CI/CD, and observability. 
      Collaborate with developers to ensure applications are designed with DevOps best practices in mind. 
      Develop, maintain, and troubleshoot Azure cloud infrastructure across the entire stack including network, application, and database layers. 
      Maintain and enhance disaster recovery strategies and backup procedures to ensure business continuity. 
      Participate in weekend release rotation and on-call rotation for production support.
       Additional duties and responsibilities as may be reasonably assigned from time to time as operational needs evolve. 
       Periodically work outside standard business hours, such as during infrastructure upgrades and/or releases.
 
Must Have:
 
      3+ years of experience with containerization and orchestration technologies like Docker and Kubernetes.
      3+ years of experience in design, develop, test, and management of CI/CD pipelines (e.g. Azure DevOps, Gitlab CI/CD, Github Actions, Jenkins, etc). 
      3+ years of experience with scripting languages like Python, Bash, Powershell, etc. 
      3+ years of work experience with Public Cloud (Azure, AWS or GCP).
      2+ years of experience in Infrastructure-as-code using Terraform.
      Familiarity with messaging services like Kafka or Azure Eventhubs.
      Experience with monitoring, logging and tracing services (DataDog, Prometheus, Grafana, Splunk, ELK, etc).
      Hands-on experience with build frameworks like Gradle, Maven, NPM.
      Experience with Linux operating system.
      Ability to partner with multi-functional teams and pivot quickly. 
      Strong communication, analytical and problem-solving skills. 
      Curiosity and motivation to learn.
 Additional Information
 
This job description is intended to describe the general nature and level of work performed by individuals in this role.  It is not intended to create a contract of employment for any specific duration of time or on any set or fixed terms. Employment with Versana is atwill, meaning that either the employee or the Company may terminate employment at any time, with or without cause or notice, in accordance with applicable law.  This role is designed and expected to be classified as exempt under applicable law. 
 
 
Equal Opportunity Employer
 
We are committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Among other things, Versana will provide reasonable accommodations to qualified individuals with disabilities and sincerely held religious beliefs, in accordance with applicable law.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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