Design, develop and maintain kdb+ tick systems with strong understanding of data organization, schema design and the performance implications of different architectural approaches.
Build and operate solutions handling large scale, high frequency datasets, ensuring low latency, high throughput and efficient memory usage.
Analyze and optimize q queries, data models and ingestion pipelines for both real time and historical workloads.
Collaborate closely with Risk function teams to translate business requirements into efficient, scalable and performant code.
Drive continuous improvement through refactoring, performance benchmarking and adoption of best practices
Mentor and guide junior and mid-level developers, fostering a culture of technical excellence, code quality and knowledge sharing.
Participate in design reviews, production support and root cause analysis of complex system issues.
Work collaboratively within an Agile or iterative delivery environment, contributing to design, implementation, testing and release phases.
