Software Development Engineer II - CI/CD & Platform Automation Engineer (DevOps)

Esri•St. Louis, MO

About The Position

In this position, you will design and develop high-performance, secure, and automated pipelines for deployment of Esri technology in the cloud and no-premises. You will partner closely with software developers and cloud engineers to ensure our integration and deployment is high-quality, reliable, and mission focused. This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the solutions you develop. The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful. Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.

Requirements

2+ years of professional 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
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 and storage services (S3, Blob Storage)
US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
Bachelor's in Computer Science, Mathematics, DevOps, Geographic Information Systems (GIS), or STEM related field

Nice To Haves

Master's in Computer Science, Mathematics, DevOps, 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

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