• Own the configuration and ongoing optimization of Adaptive models • Administer and support modeled and cube sheets • Manage Data Agent processes and integrations • Maintain and enhance alternate reporting hierarchies • Design, build, and support Dashboards, Hubs, and Reporting solutions • Partner with IT and EDW teams on schema changes • Support audit and compliance requirements • Administer FCCS application

• Develop, maintain, troubleshoot, and enhance Microsoft 365 and Power Platform solutions. • Support application development using Power Apps, Power Automate, Power BI, Dataverse, and related Power Platform components. • Develop and maintain .NET-based solutions using C#, ASP.NET MVC, Entity Framework, JavaScript, HTML, and CSS. • Create and maintain PowerShell scripts to support M365 administration, OneDrive features, SharePoint functionality, automation, and operational needs. • Customize SharePoint lists and integrate disparate systems using Power Apps and related tools. • Support configuration and maintenance of Power Platform environments, pipelines, and tenant-level settings. • Troubleshoot user issues related to Copilot, Power BI, Power Apps, Power Automate, SharePoint Online, OneDrive for Business, Teams, and related services. • Assist with monitoring Dataverse environments, optimizing data models, monitoring resource utilization, and resolving performance issues. • Support Proofs of Concept, pilot testing, reference materials, FAQs, knowledge articles, and training content. • Contribute to bi-weekly and monthly status reporting.

• Developing backend tasks in .NET, maintaining APIs, and assisting with system integrations • Writing clean, testable code and creating unit tests with mentor support • Utilizing AI tools consciously for code generation, refactoring, debugging, and technical research • Participating in code reviews, internal workshops, technical demos, and analyzing bugs/logs • Collaborating closely with experienced developers and verifying AI-generated solutions before implementation

• Own core exchange backend systems. Take deep ownership of the systems that power order matching, position management, and order state across perpetual futures. • Build and optimize the matching engine. Profile hot paths, reduce lock contention, and drive improvements to latency and throughput backed by benchmarks and production-grade evidence. • Design for correctness at scale. Build queueing and backpressure mechanisms that keep the orderbook consistent and reliable under high load, without crossing books, creating ghost fills, or introducing stale order state. • Build for observability. Instrument systems with metrics, logs, and traces. Establish rollback guarantees and narrow critical paths that make production incidents faster to detect, diagnose, and resolve. • Improve runtime performance. Optimize CPU, memory, and allocation behavior to meet the demands of a high-throughput exchange in production. • Own production incidents end-to-end. Debug latency and correctness issues directly, and drive follow-through that leaves the system measurably better each time.