Senior KDB Developer

<p>A global financial-services organization is seeking a Senior KDB Developer to join a technology organization supporting real-time Equities data and analytics.</p><p><br /></p><p>This position will engineer high-performance platforms responsible for processing large volumes of real-time and historical financial data. The engineer will work closely with trading, quantitative, engineering, QA, and production teams while maintaining substantial hands-on ownership of KDB+/Q development.</p><p><br /></p><p>The ideal candidate combines deep KDB/Q expertise with experience building real-time, low-latency financial data systems.</p><p><br /></p><p><strong>Responsibilities</strong></p><p><br /></p><ul><li>Design and develop low-latency KDB+/Q platforms for real-time financial data.</li><li>Build and optimize streaming pipelines supporting market, ticker, order, and execution data.</li><li>Develop scalable tickerplant, RDB, and HDB architectures.</li><li>Design time-series models and high-performance query frameworks.</li><li>Optimize platform latency, throughput, reliability, and query performance.</li><li>Develop APIs and reusable components for trading and analytics applications.</li><li>Implement monitoring and automated data-quality controls.</li><li>Troubleshoot complex real-time data and production issues.</li></ul><p><br /></p><p><strong>Role Requirements</strong></p><p><br /></p><ul><li>Extensive hands-on KDB+/Q engineering experience.</li><li>Strong experience developing real-time data-processing systems.</li><li>Experience working in low-latency environments.</li><li>Financial-services experience.</li><li>Experience with large-scale market, trading, transactional, or time-series datasets.</li><li>Strong Linux/Unix skills.</li><li>Working knowledge of Python or Java.</li><li>Strong understanding of time-series architecture and streaming data.</li><li>Ability to work directly with technical and front-office stakeholders.</li><li>Ability to work onsite in New York City three days per week.</li></ul><p><br /></p><p><strong>Nice to Have</strong></p><p><br /></p><ul><li>Electronic or algorithmic trading experience.</li><li>Equities experience.</li><li>Market microstructure knowledge.</li><li>AWS exposure.</li><li>Authentication and entitlement experience.</li></ul><p><br /></p>