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# Software Development Engineer II - CI/CD & Platform Automation

- **Company:** Environmental Systems Research Institute, Inc.
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, ArcGIS (Software), Build Automation, Automation of Tests, Microsoft Azure, Cloud Computing, CompTIA Security+, Continuous Delivery, Continuous Integration, DevOps, Github, Python (Programming Language), Load Testing, Scrum Methodology, Release Management, Ansible, Software Engineering, YAML, Esri GIS (Software), AWS Cdk, Scripting, Performance Testing, System Availability, Safety Critical Systems, Reliability of Systems, Backend, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Terraform, Multiplatform, Devsecops, Atlassian Bamboo, Docker, Jenkins, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing
- **Published:** August 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-development-engineer-ii-ci-cd-platform-automation-mission-focused-saint-louis-mo--a6332a0d-01c4-412f-8ad3-5fc17b07c192

## About the Role

* 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

Recommended Qualifications

 * 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

#LI-SS2

#LI-Onsite

Skills:
Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Ansible, Application Programming Interface (API), ArcGIS, Automation, Bill of Materials (BOM), Cloud Computing, CompTIA Security+, Computer Science, Computer Services, Continuous Deployment/Delivery, Continuous Integration, DevOps, Docker, ESRI, Geographic Information Systems (GIS), GitHub, High Availability, JavaScript, Jenkins, Licensing Compliance, Load Testing, Mathematics, Microsoft Windows Azure, Multiplatform/Cross-Platform, Performance Analysis, Performance Testing, Product Lifecycle, Productivity Management, Python Programming/Scripting Language, Release Management/Engineering, Scripting (Scripting Languages), Scrum Project Management and Software Development, Security Clearance, Sensitive Compartmented Information (SCI), Software Development, Software Engineering, Supply Chain, System Operations, Systems Reliability, Test Automation, Testing, Top Secret Clearance, United States Citizen,
Vulnerability Scanners, Workload Automation, Writing Skills

## Description

As a Software Development Engineer II focused on CI/CD and platform automation, you will design and implement tools, pipelines, and automation frameworks that enable reliable, secure, and scalable software delivery across enterprise environments.

You will work on systems that support continuous integration, automated testing, infrastructure provisioning, and deployment at scale, ensuring that mission critical applications can be built, tested, and released efficiently.

This role combines software engineering with DevOps and platform engineering principles, ideal for engineers who are passionate about automation, system reliability, and improving developer productivity in complex environments.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.

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


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