The position involves building a suite of software using Java, Flink, and Pulsar to identify pricing inefficiencies in live trading markets. The role requires assisting with the development of in-house hybrid cloud application frameworks and understanding the full lifecycle and intricacies of a trading platform, including observability and deployment. The candidate will interact and develop against third-party hybrid cloud messaging, data, observability, and deployment platforms. Additionally, the role includes sharing ideas, experience, and knowledge with other team members, providing feedback to leadership on team health and processes to continuously improve productivity, tooling, and code quality. The candidate will coordinate directly with stakeholders and firm leaders to plan work and design solutions, propose architectural improvements to the system to enhance reliability, latency, and throughput, and plan and lead projects, including breaking down and assigning work to other engineers.