KDB Developer
Aumni
KDB Developer
Job Information
- Job Identification 210673725
- Job Category Software Engineering
- Business Unit Commercial & Investment Bank
- Posting Date 10/09/2025, 02:59 AM
- Locations 200 Capital Dock, 79 Sir John Rogerson'S Quay, Dublin, D02 RK57, IE
- Job Schedule Full time
- Regulated role: Fitness and Probity Regime Ireland (CF/PCF)? No
Job Description
As a Senior Lead KDB Software Developer at JPMorgan Chase within Corporate and Investment Bank Markets technology, you will have an exciting and rewarding opportunity to elevate the Fixed Income, Currencies, and Commodities (FICC) electronic trading analytics platform by integrating vast amounts of electronic trading data, KDB+ technology, and AWS products. You will collaborate with business stakeholders, including traders and quantitative analysts, to achieve measurable and quantifiable results. You will offer technical leadership on all strategic business initiatives carried out by the FICC KDB development team.
Job responsibilities
- Drive delivery of FICC KDB business-focused initiatives, efficiently balancing immediate demands and strategic engagements.
- Make KDB data easily accessible to cloud native apps for research and AI purposes.
- With relentless focus on resiliency and performance, deliver analytics-centric KDB APIs for internal and external client use, concentrating on Credit, Rates and ETF flows.
- Work closely with the rest of FICC KDB development leads that provide data onboarding, platform core engineering and SRE services on-prem and in AWS.
Required qualifications, capabilities, and skills
Formal training or certification on KDB concepts and proficient advanced experience.
Thorough understanding of the ecosystem of time series data required for building electronic trading analytics and signals.
Expert in building large-scale KDB platforms processing bullions of real-time messages, preferably in FX and Credit markets.
Strong hands on Q language experience.
Fundamental knowledge of electronic trading markets, from market data to order placement.
Preferred qualifications, capabilities, and skills
Proficiency in KDB Insights Microservices.
Working knowledge of PyKX and Python.
Experience with integrating KDB data with AWS SageMaker, Bedrock and LLM suites.
Knowledge of AWS compute services and storage tiers.
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