Chloris Geospatial

DevOps Engineer

• Design, build, and maintain cloud infrastructure on AWS to support Chloris's production applications and internal tooling for data scientists and analysts
• Develop and manage CI/CD pipelines to automate the path from development to production for containerized applications
• Manage and optimize Kubernetes clusters powering distributed computing workloads, including our Dask-based geospatial processing system
• Support data science and engineering teams by building and maintaining infrastructure for ML training workflows, data pipelines, and large-scale geospatial processing
• Implement and manage monitoring, logging, and alerting systems to ensure reliability and performance across production services
• Improve developer experience by streamlining workflows, reducing friction in local and cloud development environments, and maintaining clear infrastructure documentation

DevOps Software Engineer