Senior Software Engineer

Job Description

Senior KDB+/Q Developer - Equities Data & Analytics

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

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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.

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

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What You Will Do

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

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

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