KDB+/Q Developer

Our client is seeking a Senior KDB+/Q Developer to join a high-performing global engineering team responsible for designing, developing, and supporting large-scale market data and time-series analytics platforms. This individual will play a critical role in building high-performance KDB+ infrastructure used by quantitative researchers, traders, portfolio managers, and algorithmic trading teams across global markets.

The ideal candidate will have deep expertise in KDB+/Q, distributed data architectures, and low-latency systems, along with a strong foundation in computer science and software engineering best practices. You will work closely with business stakeholders and engineering teams to design scalable solutions capable of processing and analyzing massive volumes of real-time and historical financial market data.

This is a hands-on engineering position with significant ownership, requiring both technical leadership and the ability to deliver high-quality production systems in a fast-paced trading environment.

Responsibilities

• Design, develop, and maintain large-scale KDB+/Q applications supporting enterprise market data, trading, research, and quantitative analytics platforms.
• Architect scalable KDB+ infrastructure capable of processing high-volume real-time and historical time-series data with low latency and high availability.
• Design efficient database schemas, partitioning strategies, data models, and query optimization techniques to maximize system performance.
• Develop robust data ingestion frameworks for streaming and batch market data from multiple internal and external sources.
• Optimize KDB+/Q applications for performance, memory utilization, throughput, and scalability across distributed environments.
• Collaborate with quantitative researchers, traders, Portfolio Managers, and technology teams to translate business requirements into scalable technical solutions.
• Build reusable libraries, utilities, and frameworks that improve developer productivity and promote engineering best practices.
• Participate in system architecture, code reviews, design discussions, production deployments, and ongoing platform enhancements.
• Troubleshoot production issues, perform root cause analysis, and implement long-term solutions to improve platform stability and reliability.
• Work closely with global engineering teams to ensure consistent architecture, coding standards, and operational excellence across regions.
• Contribute throughout the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and production support.
• Mentor junior engineers and provide technical leadership on complex engineering initiatives.

• 15+ years of professional software engineering experience with extensive hands-on expertise in KDB+/Q.
• Proven experience designing, building, and supporting large-scale KDB+ systems and distributed time-series database infrastructure.
• Deep understanding of Computer Science fundamentals, including data structures, algorithms, concurrency, distributed systems, and software design principles.
• Strong experience developing high-performance applications in Unix/Linux environments.
• Experience building scalable market data platforms supporting real-time and historical data processing.
• Strong understanding of database optimization, memory management, partitioning strategies, and query performance tuning.
• Experience working across the complete SDLC using modern software engineering practices.
• Excellent communication skills with the ability to collaborate directly with business users, quantitative teams, and global engineering organizations.
• Ability to translate complex business requirements into scalable technical solutions.
• Must be available during local business hours to support regional trading operations., * Experience supporting global Equities and Futures trading businesses.
• Strong understanding of algorithmic trading, electronic trading platforms, and quantitative research workflows.
• Experience working with market data feeds such as Bloomberg, Refinitiv, ICE, or exchange-native market data.
• Experience building low-latency, high-throughput trading and market data systems.
• Familiarity with Python, Java, or C++ for integration with KDB+/Q platforms.
• Experience with cloud technologies, distributed computing, CI/CD pipelines, and modern DevOps practices.
• Prior experience within a hedge fund, proprietary trading firm, investment bank, or quantitative trading environment is highly desirable.

My name is Charles Powell and I am a staffing Specialist at Voto Consulting LLC. I am reaching out to you on an exciting job opportunity with one of our clients.