Lead Software Engineer, KDB, Equity Trading Data & Analytics

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead KDB Engineer at JPMorgan Chase within Equities Trading you will play a pivotal role in building our next-generation KDB platform to support JPMorgan Chase’s Equity Cash Trading business. You will design and deliver scalable analytics stores and APIs that enable Trading desks, Product Development teams and Quant teams to research & perform trading analytics. In this role, you’ll work closely with Electronic Trading Tech, Product Development, Quantitative Research. This is a unique opportunity to shape the core data infrastructure for our Equity foundational data platform as we modernize our technology stack.

Job Responsibilities

• Design, develop, and deliver scalable KDB-based systems, capturing real-time and historical datasets for market data, transactional data and client analytics
• Be responsible for core development and delivery of KDB+ analytics platform for Equities Trading business.
• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches.
• Develop secure, high-quality production code; review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability.

• Partner with application support teams to maintain and support the platform.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Computer Science or equivalent
• Formal training or certification on software engineering concepts and at least 5+ years of hands-on professional experience with KDB/Q
• Deep understanding of KDB+ tick design, data organization, and performance optimization.
• Experience developing and running large datasets, optimizing query performance, and building resilient, high-availability KDB applications.
• Experience collaborating with quant, algo, or trading teams to deliver data solutions.
• Hands-on experience with system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Experience with scaling and load-balancing KDB applications.

Preferred Qualifications, Capabilities, and Skills

• Experience with Terraform and Kubernetes for managing production environments in public cloud.
• Design and architecture of public cloud applications - AWS (preferable), Azure, GCP
• Use of LLMs in search and/or analytics driven user workflows, familiarity with prompt and context engineering
• Experience with other programming languages (e.g., Python, C, C++, Java).