DevOps and Platform Automation Engineer (Jr-Sr)

Overview: We have several openings at multiple levels (Jr-Sr). In this position you 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 accomplish this.

Responsibilities

• Exposure to 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

Requirements:

• US citizenship with Active or Current TS/SCI clearance
• 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 SBOM tools and artifact signing concepts
• Exposure to cloud platforms (AWS and/or Azure), especially:
• Compute services
• Storage services (e.g., S3, Blob Storage)
• Bachelor’s degree in Computer Science, Engineering, DevOps, or related technical field (or equivalent practical experience)

Preferred Qualifications:

• 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