Working closely with platform engineering, cybersecurity, integration and test, and operations teams, you will help improve software delivery speed, reliability, and security while generating the technical evidence needed to support RMF authorization and continuous ATO. Your work will directly contribute to delivering secure, dependable capabilities to mission users.
What You Will Do
Pipeline Engineering and Automation
Design, build, and maintain CI/CD pipelines for platform services, infrastructure components, and tenant applications using GitLab CI, Jenkins, GitHub Actions, Argo CD, or similar technologies.
Automate software builds, testing, packaging, artifact management, and deployment to containerized environments using Kubernetes, EKS, OpenShift, or similar platforms.
Implement GitOps practices, including source control management, branching strategies, release versioning, and declarative deployment workflows.
Develop reusable pipeline templates, shared automation, and self-service tooling to standardize workflows and accelerate development team onboarding.
Implement infrastructure and deployment automation using Terraform, Ansible, Helm, or similar tools.
Troubleshoot complex pipeline failures and improve build, test, and deployment processes across development and production environments.
Security Integration and Continuous Authorization
Integrate automated security controls into CI/CD pipelines, including SAST, DAST, software composition analysis, container image scanning, secrets detection, and code quality checks.
Implement processes for managing hardened base images, approved artifact repositories, and secure software dependencies.
Generate and maintain SBOMs, security scan results, and other pipeline artifacts supporting RMF authorization, auditability, and continuous ATO.
Implement secure artifact versioning, validation, and promotion processes across environments, coordinating with cross-domain engineering teams when transfers between classification levels are required.
Collaborate with cybersecurity personnel to remediate pipeline security findings and improve compliance with established security requirements.
Support the integration of security policies and automated enforcement mechanisms into software delivery workflows.
Pipeline Operations and Optimization
Monitor pipeline health, performance, reliability, and execution metrics to identify and resolve recurring issues.
Track and analyze delivery metrics, including deployment frequency, lead time for changes, change failure rate, and recovery time.
Identify and implement improvements to pipeline efficiency, reliability, repeatability, and security.
Coordinate release planning and deployments with platform engineering, integration and test, cybersecurity, and operations teams.
Document pipeline architectures, configurations, operational procedures, and troubleshooting guidance.
Provide technical guidance to development teams adopting standardized DevSecOps practices and automated delivery workflows.
Location: This position is fully onsite in Chantilly, VA.
Qualifications
Required Qualifications
Active TS/SCI clearance with Polygraph.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, plus 5+ years of relevant experience; additional 4 years of relevant experience may substitute for a degree.
Hands-on experience independently designing, building, and maintaining CI/CD pipelines in a production environment.
Experience automating software builds, testing, artifact management, and deployment to containerized environments using Docker, Kubernetes, or similar technologies.
Experience integrating automated security scanning into CI/CD pipelines, including application security testing, dependency analysis, container scanning, or secrets detection.
Proficiency with Git and scripting languages such as Bash or Python.
Working knowledge of infrastructure as code and deployment automation using Terraform, Ansible, Helm, or similar technologies.
DoD 8140 / 8570 IAT Level II certification, such as Security+ CE, or the ability to obtain the required certification within the applicable timeframe.
Desired Qualifications
Experience delivering software across multiple classified enclaves or disconnected environments.
Experience supporting DoD or Intelligence Community software factories, hardened container image programs, or continuous ATO processes.
Familiarity with zero trust architecture and policy-as-code tools, such as OPA/Gatekeeper or Kyverno.
Experience managing artifact repositories, such as Artifactory, Nexus, or Harbor, and code quality platforms, such as SonarQube.
Experience with observability tools for monitoring pipeline performance and deployed services.
Kubernetes certification, such as CKA, CKAD, or CKS, and/or a cloud professional certification.
Prior experience supporting Intelligence Community or DoD mission programs.
Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
