Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.


As a Software Engineer lll at JPMorgan Chase within the Equities Trading Data & Analytics Organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.


Working within the Data Analytics team you will be are responsible for applications that store large amounts of Options data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS and re-architect our applications.

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 problems Develops secure high-quality production code, and reviews and debugs code written by others Adds to team culture of diversity, equity, inclusion, and respect Develop core systems and frameworks based on KDB. Develop 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 advanced applied experience Hands-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 Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Understanding of KDB technology and Q language. At least 2 years of professional experience using KDB. Understanding of KDB+ tick design and data organization, performance implications of different approaches. Practical experience developing/running large datasets and optimizing query performance. Practical experience building resilient and high-availability KDB applications.

Preferred qualifications, capabilities, and skills

Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud. AWS Experience. Experience other languages e.g. Python/C/C++/Java. * Experience with market data venue and vendor data platforms.