Lead Software Engineer – Java Full Stack - AWM

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As a Lead Software Engineer at JPMorgan Chase within Asset & Wealth Management, you are an integral part of an agile team within Cash and Check Management product 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.

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.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Architects and implements scalable Java full-stack solutions on AWS serverless to support mission-critical Private Bank Client Onboarding platforms.
• Mentors and guides engineering teams in best practices for cloud-native development, microservices and micro frontend architecture, and SRE methodologies to accelerate delivery and enhance system reliability.
• Collaborates with product managers, business stakeholders, and compliance teams to translate complex wealth management requirements into robust technical solutions that meet regulatory standards.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Establishes and enforces comprehensive testing strategies including unit, integration, and end-to-end testing frameworks to ensure code quality, system reliability, and seamless user experiences.
• Adds to team culture of diversity, opportunity, inclusion, and respect.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) and framework - java, Spring, Typescript, React/Angular, Python.
• Experience in Relational and NoSQL polyglot technologies.
• Practical experience in building cloud native applications using AWS serverless components.
• Proficiency in automation and continuous delivery methods.
• Advanced understanding of CI/CD, Application Resiliency and SRE.
• Demonstrated proficiency in software applications and technical architecture using microservices and event-based systems.
• Leverages AI-powered development tools and generative AI technologies to accelerate code generation, enhance productivity, improve code quality, and drive innovation in software delivery.
• 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

Preferred qualifications, capabilities, and skills

• BS/BA degree or equivalent experience.
• Associate level AWS Certification(s).
• Experience with cloud native development and deployment in AWS.
• In-depth knowledge of the financial services industry and their IT systems, with awareness of industry-wide technology trends and best practices in cloud/data.
• Passion for building and contributing to an innovative and inclusive team culture.