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Ai Devops Engineer Jobs in Kansas (NOW HIRING)

Sr. DevOps Engineer

Overland Park, KS · On-site

$50 - $68.25/hr

Job#: 3045697 Sr. DevOps Engineer Location: Overland Park, Kansas (Onsite 3x per week) Role ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

DevOps Engineer

Lenexa, KS · On-site

$49.50 - $67.75/hr

Job Title: DevOps Engineer location : Onshore - SI Office: Lenexa, KS; Lubbock, TX; Colorado Springs, CO; Purchase, NY Minimum Mandatory Skills: * Minimum of 5 years' experience with Software ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

Overview Alarm.com is seeking a DevOps Engineer to help support, automate, and operate the core platforms that power our data and application ecosystem. This role is a hands-on engineering position ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

Overview Alarm.com is seeking a DevOps Engineer to help support, automate, and operate the core platforms that power our data and application ecosystem. This role is a hands-on engineering position ...

DevOps Engineer

Lawrence, KS

$49.75 - $68.25/hr

Overview Alarm.com is seeking a DevOps Engineer to help support, automate, and operate the core platforms that power our data and application ecosystem. This role is a hands-on engineering position ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

Overview Alarm.com is seeking a DevOps Engineer to help support, automate, and operate the core platforms that power our data and application ecosystem. This role is a hands-on engineering position ...

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

We are seeking a highly skilled DevOps Engineer to develop code and scripts used to automate infrastructure and application deployments. This role involves writing infrastructure as code, testing ...

DevOps Engineer

Overland Park, KS · On-site

$49.75 - $68/hr

We are seeking a highly skilled DevOps Engineer to develop code and scripts used to automate infrastructure and application deployments. This role involves writing infrastructure as code, testing ...

DevOps Engineer II

Leawood, KS · On-site

$150 - $200/hr

AI is no longer confined to models or interfaces. It is becoming the foundation of how decisions ... DevOps, infrastructure engineering, or SRE experience. * Strong experience with CI/CD tooling ...

Azure AI Developer

Overland Park, KS · On-site

$54.50 - $67.50/hr

Syntricate Technologies is seeking an experienced Azure AI Developer. The role involves hands-on development with a focus on AI, requiring a full stack developer with skills in C#, .NET, React ...

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description ... Experienced with modern DevOps best practices to ensure system reliability and maintainability.

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Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai devops engineer in Kansas is $53.99, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $61.97 per hour, depending on experience, location, and employer.

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.

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.

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.

Will AI take AI Devops Engineer jobs?

AI DevOps Engineers focus on integrating AI models into deployment pipelines, automating infrastructure, and managing AI systems. While AI tools can automate certain tasks, the role requires expertise in both AI and DevOps practices, making complete automation unlikely in the near term. Human oversight remains essential for designing, maintaining, and improving AI deployment processes.

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

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

What cities in Kansas are hiring for Ai Devops Engineer jobs?

Cities in Kansas with the most Ai Devops Engineer job openings:

Infographic showing various Ai Devops Engineer job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $112,291 per year, or $54 per hour.

Sr. DevOps Engineer

Overland Park, KS • On-site

Apex Systems
IT Services • 1 - 5K employees

$50 - $68.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Key responsibilities

  • Design, implement, and maintain CI/CD pipelines for Azure environments.

  • Build and manage Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.

  • Support Azure Databricks workspace deployments and lifecycle management.


Job description

Job#: 3045697
Job Description:
Sr. DevOps Engineer
Location: Overland Park, Kansas (Onsite 3x per week)
Role Overview
We are seeking a Senior DevOps Engineer to design, implement, and support modern DevOps practices for an Azure-based data platform. This role will partner with Data Engineering, Data Architecture, Security, and Platform Engineering teams to build scalable, secure, and automated deployment pipelines supporting Azure services and Databricks workloads. The ideal candidate's skill set will be closer to Metal, a hands-on versatile contributor, and have expertise in Azure cloud services, Infrastructure as Code (IaC), CI/CD automation, and Software Development Lifecycle (SDLC) best practices.
Key Responsibilities
  • Design, implement, and maintain CI/CD pipelines for Azure environments.
  • Build and manage Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
  • Automate the deployment, provisioning, and configuration of cloud infrastructure.
  • Develop reusable deployment templates and standardized release processes.
  • Manage multi-environment deployments across Development, QA, UAT, and Production.
  • Support Azure Databricks workspace deployments and lifecycle management.
  • Implement DevSecOps practices and integrate automated security scanning into CI/CD pipelines.
  • Collaborate with Data Engineers to automate the deployment of data pipelines and analytics solutions.

Required Qualifications
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
Experience: 5+ years of DevOps or Platform Engineering experience, with 3+ years supporting Microsoft Azure environments. Hands-on experience with Azure Databricks administration and deployment automation is preferred. Candidates must have a strong understanding of SDLC methodologies and experience with enterprise configuration management.
Technical Skills: Expertise with Git-based source control (Azure DevOps or GitHub), CI/CD pipeline development (Azure DevOps Pipelines or GitHub Actions), and scripting (PowerShell, Bash, or Python). Experience with IaC tools such as Terraform or Bicep is necessary.
Preferred Qualifications
  • Experience with Azure Data Factory, Synapse Analytics, or Microsoft Fabric.
  • Knowledge of Databricks Asset Bundles, Databricks CLI, and Databricks REST APIs.
  • Experience with container technologies including Docker and Kubernetes (AKS).
  • Familiarity with Apache Spark, Delta Lake, and Unity Catalog.
  • Experience with Azure Monitor, Log Analytics, and Application Insights.
  • Understanding of FinOps and Azure cost optimization strategies.
  • Azure certifications such as AZ-104, AZ-400, or Azure Solutions Architect Expert.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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