DevOps Engineer I – ArcGIS API for Python

Overview

Join our team to help build the next generation of the ArcGIS API for Python. You wont just be running scripts you will be the architect of our software supply chain. Your mission is to design a high-performance secure and automated pipeline that takes Python and Rust code from a developer to thousands of global users via Conda PyPI and Docker.

We are working towards modernizing and building out our build test and deployment systems by continually adopting and integrating newer industry standards in our processes and workflows. Join us and help us build the next generation of ArcGIS API for Python.

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

• 1 years of relevant experience (including internships open-source contributions or advanced academic projects) in Python or Rust
• Understanding of the Python language and its packaging ecosystem (pip setuptools poetry)
• Familiarity with creating and managing environments writing recipes and managing channels
• Basic understanding of building Rust binaries or Python extensions (e.g. maturin pyo3)
• Hands-on experience with GitHub Actions GitLab CI or Azure Pipelines (experience with YAML-based pipeline configuration)
• Proficiency with Linux environments and writing optimized Dockerfiles
• Understanding of SBOM tools (like Syft or Grype) and the importance of signing artifacts
• Exposure to AWS or Azure specifically around compute instances and storage (S3/Blob Storage)
• Bachelors degree in Computer Science DevOps or a related technical field

Recommended Qualifications

#LI-TA1

Required Experience:

IC