Join us for an opportunity to advance your career and help shape the future of trading technology.
As a Software Engineer II at JPMorgan Chase within the Equities Trading Data & Analytics Organization, you’ll be a key member of an agile team dedicated to building, enhancing, and delivering trusted, market-leading technology products in a secure, stable, and scalable way.
You will work on applications that store and process large volumes of data using KDB technology for both real-time and historical access. This is an exciting time as we build cloud-native data applications that empower the trading business to innovate and deliver value to our clients. The role is ideal for KDB+/Q experts or Python engineers eager to master KDB in a trading context.
Job Responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersAdds to team culture of diversity, equity, inclusion, and respectDevelop applications and re-usable components using KDB+/QDevelop scalable real-time processing solutions using agile methodology.Partner with stakeholders to capture requirements and deliver solutions.Partner with the application support teams to maintain and support the platform.Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and at least 2 years of experience using KDB or similar experience with Python and drive to learn and master KDB skills on the jobBachelor's Degree in Computer Science or equivalentHands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Hands on experience in developing scalable (batch and real time) data pipelines using KDB+/Q (preferred)Practical experience scaling and load-balancing of KDB applications.Preferred Qualifications, Capabilities, and Skills
Experience with Terraform and Kubernetes for managing production environments in public cloud (preferably AWS)Use of LLMs in search and/or analytics driven user workflows, familiarity with prompt and context engineeringExperience with other programming languages (e.g., Python, C, C++, Java).