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Devsecops Jobs in Kansas (NOW HIRING)

$98K - $134K/yr

Role Overview We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization. As part of the Information Security ...

Cloud Engineer

Lenexa, KS

$51.75 - $69.25/hr

Participate and develop necessary DevSecOps processes. Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

Cloud Engineer

Lenexa, KS · On-site

$51.75 - $69.25/hr

Participate and develop necessary DevSecOps processes. Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

Participate and develop necessary DevSecOps processes. Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

... DevSecOps) Quality Engineering (Manual Testing, Nonfunctional testing, Test Automation, Digital Testing) Enterprise Platforms (SAP, Microsoft, Oracle, etc.) Our focused industries and target segments:

... Engineering, DevSecOps) • Quality Engineering (Manual Testing, Nonfunctional testing, Test Automation, Digital Testing) • Enterprise Platforms (SAP, Microsoft, Oracle, etc.) Our focused ...

Enterprise Architect

Wichita, KS · On-site

$95K - $146K/yr

Solution Architects must know the DevOps and DevSecOps best practices for guidance in the addition to new and existing technologies. * Communication with stakeholders such as application and system ...

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Devsecops information

See Kansas salary details

$29K

$73.5K

$110.1K

How much do devsecops jobs pay per year?

As of Aug 10, 2026, the average yearly pay for devsecops in Kansas is $73,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $87,000.00 per year, depending on experience, location, and employer.

Is DevSecOps still a thing?

Yes, DevSecOps remains a vital approach in cybersecurity and software development, integrating security practices into the DevOps process. It is widely adopted across industries to improve security automation, continuous integration, and deployment pipelines, often requiring knowledge of tools like Jenkins, Docker, and security frameworks.

What is a DevSecOps?

A DevSecOps job focuses on integrating security into the software development and operations process. Professionals in this role work to automate security measures, ensure compliance, and identify vulnerabilities throughout the development lifecycle. They collaborate with development, operations, and security teams to embed security best practices into CI/CD pipelines. The goal is to create secure software efficiently without slowing down development and deployment.

What are the key skills and qualifications needed to thrive in the DevSecOps position?

To thrive as a DevSecOps professional, you need expertise in secure software development, CI/CD pipelines, cloud infrastructure, automation, and strong knowledge of cybersecurity principles, often supported by a degree in computer science or a related field. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and security certifications like CISSP or AWS Certified Security are typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset are valuable soft skills. These are essential to ensuring security is integrated throughout the development lifecycle while enabling efficient deployment and cross-team collaboration.

What are some common challenges DevSecOps professionals face on the job?

DevSecOps professionals often navigate the challenge of balancing rapid development cycles with the need for robust security, which requires both technical adaptability and continuous vigilance. They may encounter resistance to adopting new security practices within development teams, making communication and advocacy skills crucial. Additionally, staying updated with evolving security threats and ensuring compliance with industry standards can be demanding. These challenges offer opportunities to make a significant impact on organizational security and to develop expertise in both security and automation, leading to diverse career advancement possibilities.

What job categories do people searching Devsecops jobs in Kansas look for? The top searched job categories for Devsecops jobs in Kansas are:
Infographic showing various Devsecops job openings in Kansas as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $73,502 per year, or $35.3 per hour.

Senior Security Engineer, AI & DevSecOps

Atlas HXM

$98K - $134K/yr

Full-time

Posted 25 days ago


Job description

Role Overview

We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.

As part of the Information Security team, you will build and secure the platforms, processes, and governance that enable developers and business teams to safely leverage artificial intelligence. You'll work at the intersection of AI, application security, cloud security, and DevSecOps.

This role is ideal for someone who thrives on emerging technologies, understands how modern platforms connect through APIs and automation, and can translate security requirements into scalable, developer-friendly solutions.

Key Responsibilities
  • Design and implement secure architectures for enterprise AI platforms, AI assistants, AI APIs, and AI-enabled applications.
  • Build and maintain a secure AI sandbox environment supporting experimentation and responsible AI adoption.
  • Develop security guardrails for AI-assisted development, including AI-generated code, vibe coding, AI agents, and AI workflows.
  • Evaluate new AI technologies and recommend secure adoption strategies based on business needs and risk.
  • Integrate security throughout the Secure Software Development Lifecycle (SSDLC) using automated controls and developer-friendly workflows.
  • Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD pipelines.
  • Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS, and GCP.
  • Review AI applications, integrations, and AI-generated solutions prior to production deployment.
  • Perform AI security assessments, threat modeling, and architecture reviews.
  • Support vulnerability management, incident response, and threat detection involving AI platforms and cloud services.
  • Support change management, configuration management, documentation, and audit evidence.
  • Support ISO/IEC 27001, 27017, 27018, and future AI governance initiatives.
  • Partner with engineering teams to enable secure development while minimizing friction.
  • Continuously research emerging AI technologies, threats, and best practices.
Required Qualifications
  • 7-12+ years of experience in cybersecurity, application security, DevSecOps, cloud security, platform engineering, or related disciplines.
  • Demonstrated experience securing enterprise AI platforms, AI APIs, AI-assisted development tools, or LLM ecosystems.
  • Deep understanding of modern AI security concepts, including prompt injection, data leakage, AI supply chain risks, and responsible AI practices.
  • Strong understanding of how cloud platforms, APIs, identity, data, and AI services integrate to deliver secure enterprise solutions.
  • Experience integrating security into modern software delivery pipelines using automated testing and policy enforcement.
  • Hands-on experience with application security, cloud security, vulnerability management, and developer security platforms.
  • Experience implementing IAM, Zero Trust principles, logging, monitoring, and security automation.
  • Experience supporting governance frameworks including ISO/IEC 27001, 27017, 27018, NIST CSF, or SOC 2.
  • Strong automation and scripting skills using Python, PowerShell, Bash, or REST APIs.
  • Excellent communication skills, with the ability to translate security requirements into practical engineering solutions.
Preferred Qualifications
  • Experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI orchestration platforms.
  • Experience implementing AI governance programs and enterprise AI security standards.
  • Experience performing threat modeling, application security assessments, and architecture reviews.
  • Experience supporting internal and external compliance audits.
  • Professional certifications such as CISSP, CCSP, CISM, Azure Security Engineer Associate, or AWS Certified Security - Specialty.
Tools & Technologies

Experience with one or more of the following is preferred:

  • Source Control & CI/CD: GitHub Enterprise, GitHub Actions, Azure DevOps, GitLab, Jenkins
  • Application Security: GitHub Advanced Security, SonarQube, SonarCloud, Snyk, Checkov, DefectDojo
  • Cloud Security: Wiz, Microsoft Defender for Cloud, Microsoft Defender XDR, Microsoft Sentinel, SentinelOne
  • Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP)
  • Identity & Access: Microsoft Entra ID
  • Data Protection: Microsoft Purview, Microsoft Defender for Cloud Apps, Microsoft Intune
  • AI Platforms: ChatGPT Enterprise, Microsoft Copilot, Google Gemini, Claude, Azure AI Foundry, AI agents, MCP integrations
  • Automation: Python, PowerShell, Bash, REST APIs