About this role
Overview
Join our team to help build the next generation of the ArcGIS API for Python. You won't 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 meta.yaml 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)
- Bachelor’s degree in Computer Science, DevOps, or a related technical field
Recommended Qualifications
#LI-TA1
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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Other facts
About Esri
Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping. Since 1969, we have supported customers with geographic science and geospatial analytics, what we call The Science of Where. We take a geographic approach to problem-solving, brought to life by modern GIS technology.
What you'll do
- The role involves designing and maintaining high-speed CI/CD pipelines and optimizing Docker environments for the ArcGIS API for Python. Additionally, the engineer will manage build infrastructure and implement automated security measures.
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