Lead Software Engineer - Fullstack Java, Springboot +AI

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano invites a Lead Software Engineer to join an agile team that builds trusted market-leading technology in a secure, scalable way.

As a core technical contributor, you will deliver end-to-end cloud-native, microservices-based solutions and guide best practices across the SDLC. The role emphasizes secure coding, AI-assisted development, and resilient architectures to prevent single points of failure while enabling zero-downtime releases.

Qualifications

• 5+ years of hands-on software engineering experience including system design, development, testing, and operational support.
• Strong Java 17 and Spring Boot development experience with REST APIs, Spring Security, schedulers, and multi-module Maven apps.
• Strong Python development experience, preferably with FastAPI, async processing, Poetry, Gunicorn, and pytest.
• Frontend experience with React, TypeScript, JavaScript, Node.js, HTML/CSS, and responsive apps.
• Experience with modern frontend tooling and libraries such as Webpack, Babel, Jest, React Testing Library, Axios, React Router, and component libraries.
• Strong understanding of application, data, integration, and infrastructure architecture.
• Experience designing secure REST integrations using JSON, XML, OAuth2, SAML, TLS/mTLS, and certificate-based auth.
• Experience with identity technologies like ADFS, Active Directory, LDAP, SAML, RBAC, and X.509 certificates.
• Experience leading AI-assisted software development tools with emphasis on validation of AI outputs for correctness, performance, and security.
• Experience with relational databases such as MS SQL Server.

Responsibilities

• Execute creative software solutions, design, development, and troubleshooting beyond routine approaches.
• Deliver end-to-end cloud-native, microservices-based applications leveraging latest technologies.
• Use domain modeling to build clear, testable, evolvable business products.
• Develop secure production code and review code written by others.
• Identify opportunities to automate remediation to improve stability.
• Lead communities of practice to promote new technologies.
• Drive team adoption of enterprise AI-assisted engineering practices with proper validation and standards.
• Apply SDLC tools and AI-assisted development capabilities to improve automation value.
• Continuously update technologies and patterns to stay current.
• Design scalable architectures to avoid single points of failure and enable zero-downtime releases.

Skills

Java 17

Spring Boot

Python

FastAPI

React

TypeScript

JavaScript

Node.js

REST APIs

OAuth2

SAML

TLS/mTLS

X.509

AI-assisted development

SQL Server

Tools

Webpack

Babel

Jest

React Testing Library

Axios

React Router

Git

Bitbucket

CI/CD

Jenkins

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 JPMorgan Chase within the Corporate Sector, 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 firm’s business objectives.

Job responsibilities:

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
• 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 communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• 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.
• 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.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
• Strong Java 17 and Spring Boot development experience, including REST APIs, Spring Security, schedulers, and multi-module Maven applications.
• Strong Python development experience, preferably with FastAPI, asynchronous processing, Poetry, Gunicorn, and pytest.
• Hands-on front-end development experience with React, TypeScript, JavaScript, Node.js, HTML, CSS/Sass, and responsive web applications.
• Experience with modern front-end tooling and libraries such as Webpack, Babel, Jest, React Testing Library, Axios, React Router, and component libraries.
• Strong understanding of application, data, integration, and infrastructure architecture.
• Experience designing secure REST integrations using JSON, XML, OAuth2, SAML, TLS/mTLS, and certificate-based authentication.
• Working knowledge of identity technologies such as ADFS, Active Directory, LDAP, SAML, role-based access control, and X.509 certificates.
• 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
• Experience with using relational database like MS SQL Server.

Preferred qualifications, capabilities, and skills:

• 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.
• Experience working on Cloud platform (AWS/GCP/Azure).
• Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
• Proficiency in designing and implementing data models for relational databases.
• AWS certification.