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KDB Developer

Capgemini

Salary not specified
Aug 22, 2025
Irving, TX, US
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Capgemini is looking to hire a KDB+/q Developer to help leading organizations unlock the value of technology and build a more sustainable, more inclusive world by developing KDB+/q-based systems for real-time and historical data processing.

Requirements

  • Proficiency in KDB+ and the q programming language-ideally with 2-5+ years of hands-on experience in a trading, quant analytics, or financial services environment
  • Strong understanding of time-series data structures, real-time data processing, and tick-level data handling
  • Adept at performance tuning, query optimization, and building scalable systems
  • Familiarity with Python or other languages for integration or supporting tooling (commonly used alongside KDB+)
  • Bonus: Experience with equities, high-frequency trading, simulation frameworks, or investment banking/hedge fund environments

Responsibilities

  • Lead the architecture and development of KDB+/q-based systems for real-time and historical data processing.
  • Design, develop, and maintain KDB+/q applications for real-time and historical data ingestion, analytics, and processing
  • Build and optimize time-series databases that support trading, risk, and research systems
  • Create data loaders, APIs, and tools to support quantitative researchers, traders, and portfolio managers
  • Build or maintain HMI trading infrastructure, including simulation or back-testing platforms
  • Tune system performance, troubleshoot issues, and ensure reliability and scalability
  • Support production deployments, including testing, monitoring, and system health maintenance

Other

  • Day One Onsite - 5 days in a week
  • Collaborate with stakeholders-traders, analysts, quants, and other developers-to translate business needs into technical solutions
  • Participate in peer code reviews, contribute to architecture discussions, and facilitate knowledge transfer
  • Excellent communication skills and ability to work in cross-functional teams, including quantitative researchers and technology groups
  • A degree in Computer Science, Engineering, Mathematics, or related field is often preferred