Senior Software Engineer

Senior KDB+/Q Developer - Equities Data & Analytics

A leading global financial-services organization is seeking a Senior KDB+/Q Developer to join a technology organization supporting Equities Data & Analytics.

This is a senior hands-on engineering position focused on the real-time and historical data infrastructure supporting electronic trading, market data, analytics, and front-office workflows. The engineer will design, develop, optimize, and support high-volume KDB systems where performance, scalability, reliability, and low latency are critical.

The position is based in New York City with a hybrid schedule requiring three days onsite per week.

What You Will Do

• Design and develop production KDB+/Q applications supporting real-time financial-data workflows.
• Build and enhance tickerplant, RDB, HDB, streaming, and historical-data architectures.
• Optimize KDB queries, schemas, ingestion pipelines, memory usage, and platform performance.
• Engineer systems processing large volumes of market, order, execution, transaction, position, and reference data.
• Diagnose and resolve latency, throughput, stability, and production-performance issues.
• Participate throughout design, development, testing, deployment, troubleshooting, and production optimization.
• Integrate KDB environments with Python or Java applications and APIs.
• Collaborate with traders, quantitative professionals, developers, QA, and production-support teams.

Required Experience

• 7+ years of KDB/Q and financial-data experience.
• Deep hands-on KDB+/Q development expertise.
• Strong real-time data-processing experience.
• Experience engineering low-latency systems.
• Financial-services industry experience.
• Experience with large financial or time-series datasets.
• Strong understanding of tickerplant, RDB, HDB, streaming, and historical-data architectures.
• Python or Java development experience alongside KDB/Q.
• Strong Linux/Unix experience.
• Experience optimizing Q queries, schemas, pipelines, and application performance.
• Ability to troubleshoot complex production environments.
• Strong communication skills working with technical and front-office stakeholders.
• Ability to work onsite in New York City three days per week.

Preferred Experience

• Electronic or algorithmic trading
• Equities
• Market microstructure
• Market, order, or execution data
• Ownership of tickerplant/RDB/HDB architecture
• AWS
• Authentication or entitlement frameworks
• Direct interaction with traders and quantitative teams