Geospatial CI/CD & Platform Automation Engineer – Multiple Positions at Junior/Mid/Senior Levels
On-siteSpringfield, Virginia, United States
Job Summary
Design and maintain high-speed CI/CD pipelines using GitHub Actions, Azure DevOps, and Jenkins for cloud-native and on-premises workflows. Architect Docker environments to ensure consistent, isolated build runners and manage Conda recipes for ArcGIS API distribution. Build infrastructure runners and registries via automated provisioning while implementing security gatekeeping including SBOM generation and vulnerability scanning. Transition legacy workflows to "everything-as-code" processes and oversee third-party dependency lifecycles to secure the supply chain. Monitor build performance and assist in automated load testing to identify regressions before release. Requires active Top Secret Clearance with SCI eligibility, a Bachelor's degree in a technical field, and hands-on experience with Python, Docker, and infrastructure automation tools. Located in Northern Virginia with up to 15% travel.
Required Qualifications
- US citizenship
- Active or Current (within two years of active) Top Secret Security Clearance with SCI eligibility
- Bachelor's degree in Computer Science, Engineering, DevOps, or related technical field
- 1+ years of relevant experience (including internships, open-source work, or academic projects) in DevOps, CI/CD, or platform automation
- Hands-on experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Azure Pipelines, or similar)
- Experience working with YAML-based pipeline configurations and infrastructure definitions
- Exposure to automation and scripting (Python and/or JavaScript)
- Experience with infrastructure automation tools such as Ansible, AWS CDK, Terraform or similar IaC frameworks
- Familiarity with Linux environments and containerized workflows
- Ability to write and optimize Docker files and support container-based deployments
- Understanding of artifact management, dependency management, and secure build practices
- Familiarity with DBOM tools and artifact signing concepts
- Exposure to cloud platforms (AWS and/or Azure), especially compute services and storage services (e.g., S3, Blob storage)
- Active/Current Top Secret Clearance with SCI Eligibility
- Employment contingent upon successful completion of a background check
- Employment contingent upon successful completion of a drug screening
Desired Qualifications
- Master's degree in Computer Science, Engineering, DevOps, or related technical field
- Experience automating backend systems and operational workflows
- Familiarity with release engineering and deployment strategies (blue/green, canary, etc.)
- Experience integrating security scanning into pipelines (SAST/DAST, container scanning)
- Exposure to Kubernetes-based delivery environments
- Exposure to DevSecOps practice and secure development pipelines
- CompTIA Security+ certification
- Experience working in Agile or Scrum development environments
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