Jr. CI/CD & Platform Automation Engineer (DevOps)

Chenega Corporation•Wolf Trap, VA

1d•Onsite

About The Position

The Jr. CI/CD & Platform Automation Engineer (DevOps) will design and develop high-performance, secure, and automated pipelines for the deployment of Esri technology in the cloud and on-premises. You will partner closely with software developers and cloud engineers to ensure our integration. Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace.

Requirements

Bachelor’s degree in computer science, Engineering, DevOps, or related technical field (or equivalent practical experience)
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
Active or Current (within two years of active) Top Secret Security Clearance with SCI eligibility
Ability to work independently and yet be effective within a team setting
Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
Excellent skills in Microsoft Word, Excel, and other Office applications
Proficient with Microsoft Office Applications, and experience working in a home office setting, as well as the ability to train end users on frequently asked technical issues.
Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it
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 SBOM tools and artifact signing concepts

Nice To Haves

Master’s in computer science, Mathematics, Geographic Information Systems (GIS), or STEM-related 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 practices and secure development pipelines
CompTIA Security + certification
Experience working in Agile or Scrum development environments
Exposure to cloud platforms (AWS and/or Azure), especially: Compute services, Storage services (e.g., S3, Blob Storage)

Responsibilities

Exposure to designing, implementing, and maintaining 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
Other duties as assigned