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Leidos

Mid-Level DevSecOps Engineer

Posted Yesterday
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In-Office
Englewood, CO, USA
87K-157K Annually
Mid level
In-Office
Englewood, CO, USA
87K-157K Annually
Mid level
Designs and maintains secure CI/CD pipelines, containerized deployments, infrastructure as code, and cloud environments across classified and unclassified systems. Integrates security scanning and shift-left practices, hardens cloud-native architectures, troubleshoots deployments, supports vulnerability and compliance activities, and improves DevSecOps processes. Collaborates with software engineers, security teams, and system administrators to deliver reliable mission-critical systems.
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Leidos Intelligence Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world. Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.


The Geospatial Analyst Solutions Directorate, part of the National Solutions Business Area, is currently seeking a Mid-Level DevSecOps Engineer on the Maru Program. The successful candidate will play a critical role in the integration of security into all stages of the software development lifecycle, ensuring mission-critical systems are secure, scalable, and rapidly deployable. This position supports our customer mission to provide timely, relevant, and accurate geospatial intelligence in support of national security.


We are seeking a skilled DevSecOps Engineer to support the design, implementation, and maintenance of secure development and deployment pipelines. This role focuses on integrating security best practices into CI/CD workflows, supporting containerized environments, and maintaining cloud infrastructure within classified and unclassified environments. 


The ideal candidate has hands-on experience with CI/CD automation, container orchestration, and cloud infrastructure, along with a strong understanding of secure deployment practices. This individual will collaborate closely with software engineers, security teams, and system administrators to ensure secure and reliable system delivery. 


Location

Although the core team is located in Gaithersburg, MD, qualified candidates may also be based in Alexandria, VA; Englewood, CO; Tucson, AZ; or potentially Chantilly, VA.


Clearance Level Required:

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination.


Primary Responsibilities:

  • CI/CD Pipelines: Design, implement, and maintain secure CI/CD pipelines supporting microservices and container-based deployments. 
  • Containerization & Orchestration: Support containerized environments using Docker and orchestration platforms such as Kubernetes or OpenShift. 
  • Infrastructure as Code (IaC): Manage and monitor infrastructure using tools such as Terraform or CloudFormation. 
  • Cloud Infrastructure: Support secure provisioning, configuration, and monitoring of cloud environments (e.g., AWS, Azure). 
  • Shift-Left Security: Integrate security tools and best practices into development workflows, including static and dynamic code analysis. 
  • Environment Hardening: Collaborate with engineering and security teams to harden environments and secure cloud-native architectures. 
  • Troubleshooting & Support: Diagnose and resolve issues related to builds, deployments, and system performance. 
  • Compliance Support: Conduct vulnerability assessments and assist in compliance activities aligned with RMF, STIGs, or related security frameworks. 
  • Documentation & Process Improvement: Document configurations and contribute to continuous improvement of DevSecOps processes and tooling. 

Basic Qualifications:

  • US citizenship is required per contract.
  • Bachelor’s degree in Computer Science, Engineering, or related discipline with 4–8 years of relevant experience; or Master’s degree with 2–6 years of relevant experience. 
  • CI/CD Tools: Hands-on experience with tools such as Jenkins, GitLab CI, GitHub Actions, or similar platforms. 
  • Scripting & Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell. 
  • Infrastructure as Code: Experience using Terraform, CloudFormation, or similar tools. 
  • Cloud Platforms: Experience working within AWS, Azure, or similar cloud environments.
  • AWS CDK: Hands-on experience deploying and managing AWS infrastructure using CDK.
  • Containerization: Experience with Docker.
  • GitLab CI/CD: Build, maintain, and troubleshoot automated GitLab pipelines.
  • Integration: Experience integrating CDK, GitLab, Docker, and ECS for automated deployments.
  • AWS ECS: Deploy, manage, and troubleshoot containerized applications using ECS.
  • Orchestration: Experience with Kubernetes, OpenShift, or similar platforms. 
  • Secure Engineering Practices: Working knowledge of secure coding practices, vulnerability management, and code scanning tools. 

Preferred Qualifications:

  • Knowledge of Zero Trust Architecture principles. 
  • Industry certifications such as AWS Certified DevOps Engineer, CKA, Security+, or GIAC certifications. 

#Maru

#NSBA

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:November 13, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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