• Define and drive the technical roadmap for Pantheon’s internal developer platform, including self-service tooling, CI/CD infrastructure, and developer enablement programs that reduce friction across the engineering organization. • Architect, build, and evolve core developer experience systems — including internal developer portals, standardized service templates, observability tooling, and AI-assisted development workflows. • Define and own Pantheon’s developer productivity metrics strategy — selecting and evolving frameworks (DORA, SPACE) to measure engineering effectiveness, and translating insights into clear recommendations for engineering leadership. • Partner with engineering teams to identify high-friction areas in the software delivery lifecycle and design iterative, high-impact solutions that measurably improve developer flow and satisfaction. • Lead adoption of AI-powered developer tooling across the engineering organization — evaluating tools, establishing standards, measuring impact, and driving cultural change toward AI-first workflows. • Provide technical leadership across the engineering organization — setting direction, reviewing designs, and raising the bar for quality, reliability, and developer experience. • Mentor and coach engineers at all levels, providing technical guidance and growing engineering talent across the broader organization. • Contribute to an engineering-wide culture of collaboration, continuous improvement, and developer empathy.

• Design, develop, and maintain reliable, production-grade code across frontend, backend, and data layers, implementing software solutions that meet clinical, operational, and regulatory requirements • Deploy and operate services in a cloud environment (AWS preferred) and contribute to architecture and design reviews with a focus on reliability, scalability, and security • Debug and resolve production issues across distributed and asynchronous workflows; diagnose performance bottlenecks; and own incident response, including root cause analysis and durable fixes that prevent recurrence • Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT stakeholders to translate requirements into validated releases • Design APIs and data models that preserve audit trails, version history, and system traceability; and improve system observability through structured logging, monitoring, and alerting • Uphold high standards for data integrity, security, and regulatory compliance across all systems

• Designing and developing software for testing and analysis of our codebases • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries • Developing throughout the software stack, from the user experience down to the cluster and database layers • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc) • Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community

• Gathering use cases + requirements, translating those into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners. • Reporting project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings. • Brokering technical discussions between highly technical subject matter experts • Leveraging AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code. • Architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters