KDB Lead

Role overview

KDB Lead at Bounteous

You will be the organisation's foremost kdb+ SME - designing high-performance, low-latency time-series platforms supporting real-time market data, tick data management, trade analytics, and risk calculation.

We are looking for a kdb+ / q Lead Developer with 8+ years of experience to own, architect, and lead enterprise-scale kdb+ platforms across our quantitative finance and capital markets technology estate.

Responsibilities

• Own end-to-end kdb+ platform architecture - tickerplant, RDB, HDB, IDB, gateway, and CEP design at enterprise scale.
• Design and develop complex q / kdb+ solutions - streaming pipelines, historical analytics engines, feed handlers, and gateway services.
• Build and optimise kdb+ streaming architectures - integrating Kafka, Solace, Bloomberg B-PIPE, and Refinitiv Elektron for real-time market data ingestion.
• Implement PyKX / embedPy integrations - enabling Python-based quant analytics and data science workflows on kdb+ data.
• Lead kdb+ schema design, partitioning, performance tuning, memory management, and storage optimisation.
• Manage market data vendor integrations - Bloomberg, Refinitiv / LSEG, ICE - including feed configuration and entitlements management.
• Lead kdb+ cloud deployment on AWS / Azure - containerisation (Docker / Kubernetes) and cloud-native kdb+ platform design.
• Mentor and lead a team of kdb+ / q developers - code reviews, architectural guidance, and standards enforcement.
• Engage senior stakeholders - Quant Analysts, Traders, Risk Managers, CDO - presenting platform strategy and roadmap.
• Manage KX Systems vendor relationship - support escalations, licence management, and product roadmap alignment.
• What We're Looking For 8+ years of hands-on kdb+ / q development in capital markets or quantitative finance environments.
• Expert q language proficiency - functional programming, performance optimisation, and complex analytics in production.
• Deep kdb+ architecture expertise - tickerplant, RDB, HDB, IDB, gateway, and CEP at enterprise scale.
• Strong market data knowledge - Bloomberg, Refinitiv, ICE feed management across equities, FX, fixed income, and derivatives.
• Proven kdb+ streaming experience - Kafka or Solace integration for high-throughput real-time pipelines.
• Strong Python / PyKX skills for quantitative analytics and kdb+ data science integration.
• Experience with kdb+ cloud deployment - AWS / Azure, Docker, Kubernetes.
• Demonstrated technical leadership - leading kdb+ teams and setting architectural standards.
• Excellent communication skills - engaging traders, quant analysts, risk managers, and senior technology leadership.
• Low-latency networking - DPDK, RDMA, kernel bypass.
• Algorithmic trading infrastructure - OMS, EMS, FIX / ITCH protocol. kdb+ C API / FFI for native C / C++ integration.
• KX Developer Certification.
• Experience in Investment Banking, Hedge Fund, Asset Management, or HFT environment.

Preferred qualifications and skills

• Nice to Have KX Insights Enterprise / KX Platform experience.

Employment details

• Location: Gurgaon [India]