Full Stack Senior Lead Software Engineer- Hedge Fund Technology

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 Full Stack Senior Lead Software Engineer- Hedge Fund Technology at JPMorganChase within the Asset and Wealth Management Technology Organization- Highbridge Capital Management, 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.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Highbridge Capital Management, LLC, a subsidiary of JPMorganChase, is a leading global alternative asset management firm established in 1992.

With a focus on credit and volatility, Highbridge operates a diversified investment platform that includes hedge funds, traditional investment management products, and committed, closed-end vehicles designed for longer-term holding periods.

Managing $4 billion in capital, we aim to deliver attractive risk-adjusted returns for a prestigious clientele, including institutional investors, public and corporate pension funds, sovereign wealth funds, endowments, foundations, and family offices.

Our headquarters are in New York, with an additional office in London.

Job responsibilities



* Directly engages with business users to gather and refine requirements


* Designs, implements, and supports critical financial applications using Java and Python


* Quickly understands and provides support for existing services and codebases


* Quickly understands and supports the AWS Cloud Infrastructure platform used by the firm


* Develops a comprehensive understanding of existing data models


* Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale


* Collaborates with third-party vendor systems for integration, upgrades, and ongoing issue resolution


* Operates in a fast-paced, test-driven, agile development environment


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Drives decisions that influence the product design, application functionality, and technical operations and processes; Active...