We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Spread Technology team, 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.
Job Responsibilities
Design and develop trading tools, technical solutions and streamline technological stack across pre-trade, trade capture and pricing domain.
Conduct thorough analysis of legacy systems and processes; identify areas for improvement and innovation
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership
Drive the design and development of the new system, deep dive in-to existing system and processes to propose solutions
Collaborate with wider SPG Trading, Risk and P&L teams to build scalable and robust solutions that support business needs
Quickly develop proof-of-concept solution to prove feasibility of technological solutions
Proactively communicate to management and business stake holders
Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 5+ years applied experience
Experience using Java or Python, Spring Boot and messaging system.
Excellent programming and problem-solving skills with 100% hands-on development, support, and bug fixes for real-time trading system
Good working knowledge SQL/Stored Procedure
Experience in developing software using Kafka, IBM MQ, Tibco and AMPS as messaging hubs
Exposure to AWS technology is must.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Experience in developing transformation projects with latest technological skills in Fixed Income trading system domain
Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
Experience in working on complex projects supporting system design, testing, and operational stability
Preferred qualifications, capabilities, and skills
Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
Strong problem-solving, analytical, and communication skills.
Ability to drive broader impact by sharing and contributing best practices
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