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Devops Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Experienced with modern DevOps best practices to ensure system reliability and maintainability. Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB ...

SS&C Technologies

Sr. Software Engineer

Osage City, KS · On-site

$104K - $137K/yr

... DevOps maturity, and CI/CD frameworks Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field • 8-12+ years of progressive ...

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Lead Software Engineer

Kansas City, KS · On-site

Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. Use and promote AI-assisted development tools such as Claude Code, Codex, and GitHub Copilot. Conduct code reviews and enforce ...

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Lead Software Engineer

Kansas City, KS · On-site

Establish and maintain CI/CD pipelines using GitHub or Azure DevOps. Use and promote AI-assisted development tools such as Claude Code, Codex, and GitHub Copilot. Conduct code reviews and enforce ...

Verint Systems

Sr. Engineer, Software

Topeka, KS

$115K - $152K/yr

Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps); containerize services with Docker and deploy to Kubernetes clusters (EKS/AKS). * Collaborate effectively with distributed ...

KNAPP

Logistics Operations Engineer

Bonner Springs, KS · On-site

$67K - $90K/yr

WHAT YOU GET TO DO The Logistics Operations Engineer oversees that Customer's logistics operations, such as manufacturing and shipping, works properly and meets Customer and KNAPP specifications ...

Naic

Cloud Security Engineer

Kansas City, KS · On-site

$107K - $142K/yr

Collaborate with DevOps teams on container security tooling, runtime protection, and secure CI/CD pipelines. * Contribute to the development and architecture of an organizational AI security strategy ...

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How much do devops jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for devops 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 DevOps and what do DevOps engineers do?

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the software development lifecycle and deliver high-quality applications continuously. DevOps engineers collaborate with developers and IT staff to automate, integrate, and monitor processes, focusing on continuous integration, continuous delivery, and infrastructure as code. Their responsibilities include managing deployment pipelines, automating infrastructure provisioning, ensuring system reliability, and facilitating communication between teams. By improving collaboration and automating workflows, DevOps engineers help organizations deliver software faster and more reliably.

What are the key skills and qualifications needed to thrive as a DevOps Engineer, and why are they important?

To thrive as a DevOps Engineer, you need a solid background in software development and IT operations, typically supported by experience with automation, scripting, and cloud platforms. Familiarity with tools such as Jenkins, Docker, Kubernetes, Ansible, and cloud services like AWS or Azure, as well as relevant certifications (e.g., AWS Certified DevOps Engineer), is highly valued. Strong problem-solving abilities, collaboration, and communication skills set outstanding DevOps professionals apart. These competencies are crucial for streamlining development pipelines, ensuring reliable deployments, and fostering effective collaboration between development and operations teams.

What Is Devops?

DevOps refers to a combination of philosophies, tools, and practices that help to promote an organization's ability to deliver applications and services quickly while improving products at an increased speed over companies that use traditional software development. The increased speed assists organizations in better serving their clients and customers and therefore compete more effectively in the market. Essentially, this model puts development and operations teams together so that engineers can work through the lifecycle of an application and not feel saddled into a single function or skill set. This helps to ensure quality applications and increase development speeds.

What are some common challenges DevOps professionals face when integrating new tools into existing workflows?

DevOps professionals often encounter challenges such as compatibility issues between new tools and legacy systems, resistance to change from team members, and ensuring proper security configurations. Successful integration requires thorough testing, clear documentation, and close collaboration with development and operations teams. Addressing these challenges can lead to smoother deployments and more efficient workflows, making adaptability and strong communication skills essential in this role.

What is the difference between Devops vs System Administrator?

AspectDevopsSystem Administrator
Required credentialsCertifications like AWS, Docker, Kubernetes, LinuxCertifications like CompTIA Linux+, Microsoft Certified
Work environmentCollaborative, development-focused teams, often AgileOperational, maintenance-focused, on-premises or cloud
Employer usageTech companies, startups, cloud service providersEnterprises, data centers, IT departments
Common search intentAutomation, CI/CD, cloud deploymentServer management, network setup, troubleshooting

Devops and System Administrators share overlapping skills in Linux, scripting, and cloud platforms. However, Devops focuses on automating development and deployment processes, while System Administrators primarily manage and maintain IT infrastructure. Both roles are essential in modern IT environments but serve different operational purposes.

More about Devops jobs
What are the most commonly searched types of Devops jobs in Kansas? The most popular types of Devops jobs in Kansas are:
What are popular job titles related to Devops jobs in Kansas? For Devops jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Devops jobs in Kansas look for? The top searched job categories for Devops jobs in Kansas are:
What cities in Kansas are hiring for Devops jobs? Cities in Kansas with the most Devops job openings:
Devops jobs near you
Infographic showing various Devops job openings in Kansas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,291 per year, or $54 per hour.
Lead AI Engineer

Lead AI Engineer

Conflux Systems

Kansas City, KS • On-site

$98K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka)
Location: Leawood, KS
Description
  • Led App Development teams and are aware of working with distributed systems
  • Are well aware of architecture (backend) and integrations
  • Taking Applications to production (so awareness of end to end working of systems)
  • Preferably know Kafka
  • Preferably worked as Data Engineering Leads
  • Are tech savvy, have tried out building Gen AI apps.

Role Overview
  • Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front, manages delivery across the AI team, and ensures successful execution of complex, high-impact AI initiatives.
  • You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and Small Language Models (SMLs) within a distributed, production-grade ecosystem.
  • This is a hands-on technical leadership and delivery management role that combines engineering excellence, team guidance, and cross-functional collaboration. You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications that transform digital learning experiences.

Roles and Responsibilities
Delivery Management & Leadership: Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and drive accountability.
Technical Leadership & Team Guidance: Lead and mentor AI engineers in architecture, design, and implementation of best practices. Set engineering standards for quality, reliability, and maintainability.
AI Solution Design & Development: Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and Kubernetes.
Cross-Functional Collaboration: Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to define scope, success metrics, and optimize infrastructure and performance.
Innovation & Strategic Thinking: Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with predictable delivery.
Productionization & Lifecycle Management: Lead productionization of AI application, ensuring reliability, observability, and lifecycle management of deployed solutions.
Qualifications
Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field-or equivalent practical experience. Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or architectural roles, demonstrating a proven track record of delivering complex solutions.
Delivery Management Expertise: Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream technical projects, ensuring timely execution, high standards, and effective coordination across stakeholders.
Technical Proficiency: Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large Language Models (LLMs) and Small Language Models (SMLs).
Technology Stack Mastery: Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating solutions with Docker and Kubernetes. Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog. Experienced with modern DevOps best practices to ensure system reliability and maintainability.
Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB, AI Search, and Cognitive Services. Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling seamless integration of intelligent backends with web applications. Exceptional communication, collaboration, and leadership abilities, with a passion for mentoring teams and driving impactful results.

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