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Senior Devsecops Engineer 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 ...

Functions as a senior engineering technician, technical design specialist, and/or supervisor ... DevSecOps) Quality Engineering (Manual Testing, Nonfunctional testing, Test Automation, Digital ...

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

Senior Devsecops Engineer information

See Kansas salary details

$53.1K

$112.9K

$163.7K

How much do senior devsecops engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior devsecops engineer in Kansas is $112,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Devsecops Engineer vs Devsecops Engineer?

AspectSenior Devsecops EngineerDevsecops Engineer
CredentialsTypically requires 5+ years experience, certifications like CISSP, AWS, or AzureEntry to mid-level, often with similar certifications but less experience required
Work EnvironmentLeads security integrations, mentors teams, manages complex projectsSupports security automation, implements CI/CD security practices
Industry UsageUsed across tech, finance, healthcare, and enterprise sectorsCommon in startups, tech companies, and organizations adopting DevSecOps

The main difference lies in experience and responsibility. Senior Devsecops Engineers typically lead security initiatives and mentor teams, while Devsecops Engineers focus on implementing security within development pipelines. Both roles require similar certifications and are vital in organizations prioritizing security in software development.

What does a Senior DevSecOps Engineer do?

A Senior DevSecOps Engineer works closely with both development and security teams to embed security practices throughout the software development lifecycle. This collaboration often involves conducting threat modeling sessions, integrating automated security testing tools into CI/CD pipelines, and providing guidance on secure coding practices. Regular communication and joint problem-solving are key to ensuring that security measures do not hinder development speed, while still maintaining robust protection for applications and infrastructure. This role often acts as a bridge between teams, translating security requirements into actionable steps for developers and ensuring compliance with industry standards.

What is a Senior DevSecOps Engineer?

Senior DevSecOps Engineers are experienced IT professionals who integrate security practices into every phase of the software development and deployment process. They work at the intersection of development, operations, and security, ensuring that applications are secure, scalable, and efficiently delivered. Their responsibilities include automating security checks, managing infrastructure as code, overseeing compliance requirements, and mentoring teams on secure coding and deployment practices. Senior DevSecOps Engineers also evaluate and implement security tools, respond to incidents, and help create a culture of security within the organization.

What are the key skills and qualifications needed to thrive as a Senior DevSecOps Engineer?

To thrive as a Senior DevSecOps Engineer, you need expertise in cloud infrastructure, automation, secure software development, and a strong background in cybersecurity, often backed by a degree in computer science or a related field. Familiarity with tools like Jenkins, Terraform, Docker, Kubernetes, and security frameworks such as NIST, as well as certifications like AWS Certified DevOps Engineer or CISSP, is highly valued. Strong problem-solving abilities, collaboration, and clear communication distinguish top performers in this role. These skills are essential to seamlessly integrate security into the development lifecycle, ensuring robust, scalable, and compliant systems.

Are senior DevSecOps engineers in demand?

Senior DevSecOps engineers are in high demand due to the increasing need for integrating security into development and operations processes. Organizations seek professionals with skills in automation, cloud platforms, and security tools to enhance their cybersecurity posture, making experienced engineers valuable in the job market.
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Infographic showing various Senior Devsecops Engineer job openings in Kansas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 86% Full Time, 7% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $112,870 per year, or $54.3 per hour.

Senior Security Engineer, AI & DevSecOps

Atlas HXM

$98K - $134K/yr

Other

Posted 20 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