Lead Software Engineer - Java, Spring, AWS, AI

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join a Consumer & Community Banking agile team. You will build trusted, scalable tech products, lead architectural reviews, and champion AI-assisted engineering while ensuring secure coding and high-quality production code.

The role emphasizes enterprise patterns, cloud experience (AWS/Azure/GCP/PCF), and collaboration across business functions to support the firm’s objectives.

Qualifications

• Formal training in Software Engineering with 5+ years of IT experience.
• Strong CS fundamentals and experience with enterprise applications.
• Experience leading AI-assisted software development practices.

Responsibilities

• Develop secure, production-grade code and review others' work.
• Drive adoption of AI-assisted engineering practices and secure coding standards.
• Design and implement RESTful APIs and scalable services.
• Lead architectural discussions and enterprise-wide technical validation.
• Foster communities of practice and inclusive team culture.

Skills

Java

Spring Framework

REST APIs

AI-assisted development

Cloud experience

Secure coding

Software architecture

Education

Formal training in Software Engineering

Tools

PCF

AWS

Azure

GCP

Job description

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 JPMorganChase within the Consumer & Community Banking , 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 break down technical problems
• 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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 in Software Engineering and 5+ years applied experience
• 6+ years experience years in IT with strong CS fundamentals (algorithms, data structures, operating systems, programming languages)
• 5+ years experience building mission-critical enterprise applications using Java and the Spring ecosystem (Core, Boot, Cloud).
• 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
• Advanced in one or more programming language(s) : J2EE , Core Java including Java 17 with annotation, enum, collections, streaming, multithreading, concurrency, regular expressions, functions.
• Strong object-oriented design and common design patterns.
• REST architecture; design and implementation of RESTful APIs and web services.
• 3+ years experience on private cloud (PCF) or public cloud (AWS, Azure, GCP).
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Proficient in all aspects of the Software Development Life Cycle
• Proficiency in automation and continuous delivery methods
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)