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Secret Cleared Devsecops Engineer Jobs in Kansas

$98K - $134K/yr

Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD ... DevSecOps, cloud security, platform engineering, or related disciplines. * Demonstrated experience ...

NC Programmer (Cleared)

Wichita, KS · On-site

$23.75 - $32.50/hr

ACTIVE DOD SECRET CLEARANCE REQUIRED SUMMARY The NC (Numerical Control) Programmer is responsible for developing and optimizing NC programs for the manufacturing of aerospace components. This role ...

Secret Cleared Devsecops Engineer information

Are Secret Cleared DevSecOps engineers in demand?

Secret Cleared DevSecOps engineers are in high demand due to the increasing need for secure software development in government and defense sectors. Their expertise in integrating security into development pipelines, along with security clearances, makes them valuable for organizations handling sensitive information, leading to strong job growth and competitive salaries.

What is a Secret Cleared DevSecOps Engineer?

A Secret Cleared DevSecOps Engineer is an IT professional who integrates security practices into the software development and operations (DevOps) process while holding a 'Secret' level security clearance, typically required for working on sensitive government or defense projects. These engineers are responsible for automating security measures, ensuring compliance with security policies, and maintaining secure development pipelines. Their clearance allows them to access classified information necessary for their work, making them essential for secure government or defense software development environments.

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

To thrive as a Secret Cleared DevSecOps Engineer, you need expertise in software development, security best practices, automation, and experience with cloud infrastructure, typically supported by a relevant degree and an active Secret security clearance. Proficiency with CI/CD tools like Jenkins, Kubernetes, Docker, security scanning tools, and configuration management systems such as Ansible or Terraform is essential. Strong problem-solving, collaboration, and communication skills are crucial for integrating security seamlessly into development and operations processes. These skills ensure the delivery of secure, reliable systems that meet stringent government standards and safeguard sensitive information.

Does a secret cleared Devsecops engineer help get a job?

Having a secret clearance can enhance a DevSecOps engineer’s job prospects by demonstrating trustworthiness and security clearance eligibility, which are often required for government or defense-related projects. Additionally, skills in automation, security tools, and cloud platforms increase employability in this field.

What are some common challenges faced by Secret Cleared DevSecOps Engineers when integrating security into CI/CD pipelines?

Secret Cleared DevSecOps Engineers often encounter challenges such as balancing rapid deployment with stringent security controls, ensuring compliance with government regulations, and managing sensitive data securely within automated pipelines. They must collaborate closely with development, operations, and security teams to identify vulnerabilities early and automate security testing without slowing down delivery. Additionally, maintaining security documentation and audit trails for classified projects adds another layer of complexity to the role.

What is the difference between Secret Cleared Devsecops Engineer vs Cybersecurity Analyst?

AspectSecret Cleared Devsecops EngineerCybersecurity Analyst
CertificationsSecurity+, CISSP, DevSecOps certificationsSecurity+, CEH, CISSP
Work EnvironmentDevOps teams, software development, cloud platformsSecurity operations centers, threat analysis, incident response
Employer & Industry UsageGovernment agencies, defense contractors, tech firmsCorporations, government agencies, consulting firms

The Secret Cleared Devsecops Engineer focuses on integrating security into the development and deployment processes within DevOps environments, often requiring security clearances. In contrast, a Cybersecurity Analyst primarily monitors and responds to security threats, with less emphasis on development processes. Both roles require security certifications and may work in similar industries, but their core responsibilities and daily tasks differ significantly.

What are popular job titles related to Secret Cleared Devsecops Engineer jobs in Kansas? For Secret Cleared Devsecops Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Secret Cleared Devsecops Engineer jobs in Kansas look for? The top searched job categories for Secret Cleared Devsecops Engineer jobs in Kansas are:
What cities in Kansas are hiring for Secret Cleared Devsecops Engineer jobs? Cities in Kansas with the most Secret Cleared Devsecops Engineer job openings:

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