As a Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank, youare 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 firm27s business objectives.

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

• 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.

• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Expertise in Java fundamentals, object-oriented programming, multi-threading, messaging technologies, and computer networks

• Experience building high-performance, latency-sensitive Java applications

• 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

• Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies
• Experience with distributed systems, microservices, and event-driven architectures
• Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services
• Strong interpersonal and communication skills, with experience working in global teams
• Commitment to continuous learning and improvement

• Familiarity with modern front-end technologies such as React, Angular, or Vue.js
• Exposure to cloud technologies including AWS, Azure, or GCP
• Experience with Python and front-end development
• Practical experience with FIX messaging protocol and QuickFIX/J
• Familiarity with Hazelcast or other distributed computing platforms