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# DevSecOps / Application Security Engineer

- **Company:** Eliassen Group
- **Location:** Cary, NC, United States
- **Experience:** Expert
- **Salary:** $122,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Bash Shell, Cloud Engineering, Cyber Security, Information Leak Prevention, Github, Identity and Access Management, Python (Programming Language), Windows PowerShell, Systems Development Life Cycle, Secure Coding, Software Engineering, Policy as Code, Software Repository, Scripting, DevOps Tools - Open-source, Software Security, Gitlab, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Build Process, Bitbucket, Virtual Agents, Opsworks, Terraform, Software Version Control, Devsecops, Atlassian Bamboo, Docker, Jenkins, Static Application Security Testing, Dynamic Application Security Testing
- **Published:** October 2, 2026
- **Apply:** https://www.thejobnetwork.com/job/fd762a24-5686-4ef0-b1e1-51f50d8a936c/senior-devsecops-application-security-engineer

## About the Role

* 7+ years of experience in DevSecOps, application security, security engineering, or platform engineering
 * Experience with cloud-native and modern development environments, including containers and infrastructure-as-code
 * Strong scripting or automation experience (e.g., Python, PowerShell, Bash)
 * Proven ability to translate security requirements into scalable, automated technical controls
 * Practical experience with repository platforms such as GitHub, GitLab, Azure DevOps, or Bitbucket and related security governance.
 * Deep experience with containers (Docker), Kubernetes, and IaC tools including Terraform, ARM, and AWS CloudFormation.
 * Strong understanding of software supply chain security, dependency management, and SBOM practices.
 * Experience implementing policy-as-code using Azure Policy, AWS Config, OPA, or similar tools.
 * Proficiency with scripting and automation such as Python, PowerShell, and Bash and DevOps tooling like Jenkins, GitHub Actions, and Azure Pipelines.
 * Strong understanding of SDLC and operationalizing controls in engineering environments.

Requires: Strong hands-on experience securing:

 * Code repositories (e.g., GitHub, GitLab, Azure DevOps)
 * CI/CD pipelines and developer platforms
 * Approximately 5% travel.

Education Requirements:

Bachelor's degree in Computer Science, Engineering, Information Security, or a related field (or equivalent practical experience)

## Description

* Embed security controls into application development workflows, CI/CD pipelines, and code repositories
 * Support and guide developers on secure coding practices and secure build processes
 * Drive automation and policy-as-code to enforce security requirements consistently
 * Secure modern, AI-enabled applications and assess risks introduced by AI in development workflows
 * Improve security prioritization and efficiency through automation and intelligent tooling
 * Design and implement secure CI/CD pipelines with automated controls such as:
 + Static and Dynamic Application Security Testing (SAST/DAST)
 + Software Composition Analysis (SCA)
 + Secrets scanning and code integrity checks
 + Infrastructure-as-Code (IaC) and container image scanning
 * Secure code repositories by enforcing:
 + Branch protections and access controls
 + Commit signing, code integrity, and version control governance
 * Prevent insecure code usage or data exposure (e.g., sensitive data pushed to public repositories)
 * Implement and maintain policy-as-code frameworks to enforce security standards automatically
 * Secure the software supply chain, including:
 + Dependency validation
 + SBOM generation
 + Validation of third-party and purchased software
 * Establish standardized security guardrails as more teams begin building and deploying code
 * Ensure data is encrypted at rest and handled securely across development environments
 * Partner with identity and data protection teams to strengthen:
 + Identity and access controls (IAM)
 + Data Loss Prevention (DLP) practices within development workflows
 * Evaluate risks introduced by AI in software development and application design
 * Help define and implement controls for secure AI-driven applications
 * Leverage AI to enhance security monitoring, prioritization, or automation
 * Interest in candidates who can write code and potentially build secure prompting or automation solutions