Senior Levels

NV5•St. Louis, MO

13d•Onsite

About The Position

NV5 Geospatial (NV5G) is actively recruiting qualified and cleared Geospatial CI/CD & Platform Automation Engineers to support national security client sites in the Northern Virginia and St. Louis, MO areas. Candidates will design and develop high performance, secure, and automated pipelines for deployment of Esri technology in the cloud and on-premises. You will partner closely with software developers and cloud engineers to ensure our integration and deployment is high-quality, reliable, and mission-focused. A Top Secret Clearance with SCI eligibility or an active TS/SCI are required conditions of employment.

Requirements

US citizenship with 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 preferred)
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)

Nice To Haves

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

Responsibilities

Design, implement, and maintain high-speed CI/CD pipelines using GitHub Actions/Azure DevOps for cloud-native workflows and Jenkins for complex, cross-platform on-premises build automation
Architect and optimize Docker environments to ensure consistent, isolated, and reproducible build/test runners across the entire development lifecycle
Work with the team to help lead the design of the next-generation Python package creation process; manage complex Conda recipes and environments to ensure seamless distribution of the ArcGIS API and its dependencies
Build and manage the underlying build infrastructure (runners, nodes, and registries) using automated provisioning to ensure high availability and scalability of the release system
Implement automated security gatekeeping, including the generation of SBOMs (Software Bill of Materials), vulnerability scanning, and license compliance for all Python and Rust artifacts
Work with the team to help design and implement monitoring frameworks to track build performance; assist in automated load and performance testing of the Python stack to identify regressions before release
Identify and eliminate manual bottlenecks by transitioning legacy workflows into modern, “everything-as-code” processes
Oversee the lifecycle of third-party dependencies, ensuring that the supply chain is secure, from source code to the final distributed package