• Contribute to the development of critical workflow infrastructure for major modeling systems, such as the Real Time Ocean Forecast System (RTOFS), the Global Forecast System and its ensemble counterpart, high-resolution applications like the Rapid Refresh Forecast System, and AI applications like the AI Global Forecast System. • Comprehend and adhere to operational computing standards in support of operational code deliveries. • Port workflows to new high-performance computing and/or cloud platforms. • Develop user interfaces that allow scientists to easily set up experiments that run parts of and/or the full workflow, including to enable experiments using only specified coupled components (atmosphere only, atmosphere - wave, etc.). • Conduct profiling of performance-critical model code and identify and implement performance improvements. • Maintain documentation standards that support community model development. • Incorporate modern software management practices like unit testing, continuous integration, documentation, and other agile development techniques, including as they pertain to the maintenance and modernization of legacy code. • Maintain and modernize the CMake-based build systems that EMC uses for their Earth system models. • Adhere to modern code management principles (Git repositories, including forking and branching; GitHub/GitLab features including continuous integration services).