Overview
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.
Qualifications
- 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 and 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.
