DevSecOps Engineer (TS/SCI w/ CI Poly required)
$150,000–$250,000 year
On-siteSterling, Virginia, United States
Job Summary
Develop integration interfaces using Python, PowerShell, and Groovy while maintaining system components and preparing documentation. Execute system testing and validation, create robust test plans, and develop CI/CD pipelines with automation tools like Ansible, Terraform, Jenkins, and GitLab. Manage containerized environments on Kubernetes and configure virtualization tools including Grafana and Splunk. Decompose tasks for Jira stories and assist with leading a total system perspective on cloud services, infrastructure, and security domains. Requires 10 years of relevant experience, a STEM degree, and Active TS/SCI w/ CI Poly.
Required Qualifications
- Active TS/SCI w/ CI Poly
- On-site position
- Sec+ or better
- Minimum of 10 years' relevant experience
- Bachelor's or master's degree in a STEM field
- DOD 8140 requirements (Security+ CE Certification)
- Expertise working with Continuous Integration/Continuous Deployment (CI/CD), test automation and / or DevSecOps on iterative development projects
- Solid ability to demonstrate solid engineering rigor
- Demonstrated experience with system testing and validation
- Expert troubleshooting and solutioning skills
- Experience with Cloud architecture and system design
- Experience with AWS
- Strong documentation skills
- Familiar with Agile Methodologies
- Ability to accurately decompose tasks for Jira stories
- Developing integration interfaces using Python, PowerShell, and Groovy
- Experience and comfortability with Basic DevOps Tooling (Ansible, Terraform, Jenkins, GitLab, Active Directory, IdAM, and LDAP)
- Familiarity with Containerized Development environments (Rancher, Kubernetes)
- Expertise with creating robust test plans
- Ability to quickly get familiar with customer system security requirements and processes
- Preparation and maintenance of system components
- Experience with API Gateways, catalogs
Desired Qualifications
- Experience with Azure
- Experience with Model-Based Systems Engineering (MBSE) infrastructure and tools
- Experience with Cloud solution optimization
- Experience configuring and instrumenting Virtualization tools (Grafana, Splunk)
- Experience with ServiceNow
- Other Cloud experience (Azure, Google, Oracle, IBM)
- Integration of virtualized applications and application streaming or layering techniques
- Assist with leading and overseeing a total system perspective including technical understanding of relationships, dependencies and requirements of cloud services, infrastructure and security domains
- SharePoint admin systems engineering experience
- IBM Enterprise Lifcycle Management systems engineering experience
- TeamWork Cloud/Cameo systems engineering experience
- Tableau systems engineering experience
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