Senior KDB+ Developer
Summary
Designs and optimizes high-performance kdb+ data platforms for risk functions, focusing on tick architecture, query tuning, and large-scale data handling.
Project description
We are seeking an experienced Senior KDB+ Developer to design, develop and optimize high performance data platforms built on kdb+. The ideal candidate will have deep expertise in kdb+ tick architecture, performance tuning at scale and close collaboration with business stakeholder - particularly within Risk functions - to deliver robust, efficient and maintainable solutions.
Responsibilities
- - 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.
SKILLS
Must have
- - 8+ years of hands on experience in kdb+ development in a production environment. - Strong expertise in q language including: table design (splayed, partitioned, segmented), In memory vs on disk trade offs, efficient joins, aggregation and windowed analytics - Deep understanding of kdb+ tick architecture including ticker plant, RDB, HDB nd associated patterns - Proven experience working with large datasets and optimising queries for performance and scalability - Strong background in Unix/Linux environments, including shell scripting for automation, monitoring and operational tooling - Solid understanding of software delivery processes and methodologies (Agile, CI/CD, Version control, release) - Ability to communicate clearly with both technical and non-technical stakeholders, demonstrating systematic reasoning and problem solving skills
Nice to have
- Knowledge of inter process communication mechanism in kdb+ and integration with external systems - Experience tuning kdb+ systems for low-latency and high availability - Familiarity with data quality checks, validation frameworks and operational resilience patterns - Exposure to financial markets data (market data, trading, risk, post-trade workflows, equity asset class) - passion for writing clean, efficient and well-structured code