Lead Software Engineer -Java Full stack

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 and Investment Bank, 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.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

• Develops secure and 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.

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Promptly investigate and resolve issues, ensuring they do not resurface.

• Continuously update technologies and patterns to keep systems current.

• Design and build solutions that avoid single points of failure using scalable architectural patterns.

• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

• 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

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

• Proficiency in back-end technologies (Java and Python) with experience building microservices-based applications; proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).

• 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

• Hands-on experience designing and building scalable applications using SQL or NoSQL databases.

• Experience with agentic AI protocols (e.g., MCP, AG-UI) and frameworks such as Lang Chain, Lang Graph

• Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.

• Proficient in all aspects of the Software Development Life Cycle

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Practical cloud native experience

Preferred qualifications, capabilities, and skills

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In-depth knowledge of the financial services industry and their IT systems

• 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.

• AWS certification.