Chief Software Engineer

Team Axiom is seeking a Chief Software Engineer to Direct all aspects of software development and engineering under the EPIC contract. Ensures high standards for coding, testing, platform agnosticism, automation, and collaborative development across community team members. Champions process improvements and best practices for rapid innovation and operational reliability.

NOAA created the Earth Prediction Innovation Center (EPIC) to improve operational weather and climate forecast systems through scientific and technical innovation via model co-development with the Weather Enterprise - government, industry and academia. EPIC will facilitate improved and reliable forecasts produced by numerical Earth system models that will reduce the devastating impacts of hazardous weather.

The EPIC Program and Contract will deliver world-class numerical weather prediction systems supporting NOAA's mission to save lives, protect property, and enhance the economy. EPIC is a facilitating organization that leverages resources to better coordinate the weather research and modeling community.

EPIC is a combination of (1) roadmap for research and model priorities, (2) development environment, (3) code management, (4) cloud-ready code, (5) observational data and tools, (6) community support, and (7) community engagement

Key Responsibilities:

• Lead agile software development, code reviews, regression and cross-platform testing.
• Define/enforce standards for coding, documentation, versioning, and security.
• Coordinate continuous integration/test/deployment cycles and support open development.
• Work directly with scientific, architectural, and support teams to translate requirements into reliable, scalable solutions.
• Mentor team on new technologies, programming languages, and automation tools.

Essential Qualifications:

• Advanced degree in software engineering, computer science, or related field; 10+ years software development experience.
• Experience leading Agile software development.
• Extensive experience with large, open-source or federal scientific software systems.
• Excellence in DevOps, automated testing, and delivery of maintainable, production-quality code.