Lead Software Engineer(Java)

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Consumer and Community Bank.

You will be a core technical contributor, delivering secure, scalable microservices and enterprise-grade software in an agile environment. You will lead design and delivery of Java/Spring Boot applications, APIs, and data models, while guiding best practices in security, observability, and AI-assisted development.

Qualifications

• Formal training or certification on software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, app development, testing, and operational stability.
• Lead design and delivery of Java/Spring Boot microservices with REST APIs and domain-driven design.
• Production-grade engineering: performance tuning, resilience, observability, and incident management with measurable SLOs.
• Cloud-native delivery on AWS with CI/CD, containerization, and automated testing (secure-by-default).

Responsibilities

• Executes creative software solutions and reviews/debugs code.
• Develops secure, high-quality production code and performs code reviews.
• Drives enterprise AI-assisted engineering practices to improve quality and delivery speed.
• Applies SDLC tools including AI-assisted development to improve automation.
• Identifies and automates recurring issues to improve stability of software.
• Leads evaluation sessions with vendors and internal teams on architecture.

Skills

Java/Spring Boot

APIs REST

AWS

CI/CD

Containerization

AI-assisted engineering

Security

Leadership

Tools

OAuth2/OIDC

OWASP

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 and Community 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
• 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
• 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
• Lead design and delivery of Java/Spring Boot microservices, defining service boundaries, APIs (REST), data models, and integration patterns aligned to domain-driven design.
• production-grade engineering: performance tuning, resilience (timeouts/retries/circuit breakers/idempotency), observability (logs/metrics/traces), and incident/root-cause management with measurable SLOs.
• Drive cloud-native delivery primarily on AWS with CI/CD, containerization, and automated testing (unit/integration/contract), ensuring secure-by-default practices (OAuth2/OIDC, secrets, OWASP).
• Provide technical leadership to the team: code reviews, architectural guidance, mentoring, and setting engineering standards (clean code, patterns, quality gates).
• 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

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience