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Ai Devops Engineer Jobs in Kansas (NOW HIRING)

DevOps Engineer

Lenexa, KS · On-site

$49.50 - $67.75/hr

As a DevOps Engineer, you will streamline the software development lifecycle by enhancing automation systems for software releases. You will ensure the integrity of CI/CD pipelines, fortify ...

DevOps Engineer

Kansas City, KS · On-site

$50.75 - $69.75/hr

AI & Governance * Support AI/ML platform enablement with AgentCore infrastructure, governance ... hands-on DevOps, Site Reliability, Platform Engineering, or Cloud Engineering experience in ...

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

$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

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 ...

Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale. We are seeking a DevOps Engineer with a strong foundation in infrastructure ...

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.

AI Engineer II

Leawood, KS · On-site

$94K - $129K/yr

Partner with product and DevOps teams to integrate ML and agentic services into Propio ... Work with Applied AI Engineering to transition agentic prototypes into production systems ...

AI Engineer II

Overland Park, KS

$94K - $129K/yr

Partner with product and DevOps teams to integrate ML and agentic services into Propio ... Work with Applied AI Engineering to transition agentic prototypes into production systems ...

Experience with containerization (Docker), orchestration (Kubernetes), CI/CD and basic DevOps ... AI experience * Experience with event-driven architectures and distributed messaging systems such ...

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$50.75 - $68/hr

... AI-assisted operations tooling and Azure AI services to improve platform reliability and developer productivity. Qualifications : Required : • Bachelor's degree in Computer Science, Software ...

This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing. Key Responsibilities * Design, develop, and deploy AI-driven features and ...

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This role focuses on building scalable, secure backend AI services, reusable AI capabilities, and ... DevOps, CI/CD, and Infrastructure as Code #LI-AK1 Other Requirements: * Regular, reliable ...

Sr. AI Engineer

Overland Park, KS · On-site

$121K - $159K/yr

Operational excellence practices and observability tools - Weights & Biases, Splunk, Datadog * Project management tools and agile methodologies - Jira, Azure DevOps * AI orchestration tools ...

This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing. Key Responsibilities * Design, develop, and deploy AI-driven features and ...

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Ai Devops Engineer information

See Kansas salary details

$14

$53

$76

How much do ai devops engineer jobs pay per hour?

As of Jul 30, 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 are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

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 are AI DevOps Engineers?

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 Kansas? For Ai Devops Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Kansas look for? 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 July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $112,291 per year, or $54 per hour.

$49.50 - $67.75/hr

Other

Posted 7 days ago


Job description

DevOps Engineer
Introduction:

As a DevOps Engineer, you will streamline the software development lifecycle by enhancing automation systems for software releases. You will ensure the integrity of CI/CD pipelines, fortify application deployment resilience, and advance monitoring capabilities. Collaborate with Senior DevOps Engineers and technical leads to deploy cutting-edge applications and optimize processes for efficiency, reliability, and scalability.

Responsibilities:
  • Design and build DevOps processes for large-scale applications (on-premise and cloud).
  • Manage build plans, assist developers, and oversee software configurations.
  • Ensure automated testing and continuous deployments.
  • Debug production outages and perform root-cause analysis.
  • Monitor production environments and maintain system stability.
  • Provide off-hour support for mission-critical applications.
  • Follow SDLC standards and compliance methodologies.
  • Optimize hardware, software, and personnel resources.
  • Address technical incidents per SLAs.
  • Integrate security into DevOps pipelines.
  • Maintain build, pipelines, ALM platforms, Azure deployments, and server support.
  • Deployments occur every 2 weeks.
Requirements:Must-Have Skills:
  • Minimum 5 years DevOps experience.
  • Strong Azure experience (preferred over AWS/Google Cloud Platform).
  • .Net 8, Node JS, Delphi code for legacy systems.
  • Kubernetes, GitLab, Flux CD, GetOps.
  • CI/CD pipeline management.
  • SQL/Database Administration.
  • Security standards implementation.
  • Experience with automation tools (Ansible, Nginx).
  • REST APIs, SPAs, gRPC.
  • Application development tools (GIT, Visual Studio/Azure DevOps).
  • Monitoring tools for operational reporting.
Qualifications:
  • Bachelor’s degree in computer science, engineering, or related field.
  • Team player with solid communication and problem-solving skills.
  • Ability to manage multiple projects and work independently.