Lead Software Engineer - Java, Spring Boot

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, Texas seeks a Lead Software Engineer to advance trusted market-leading technology products in Identity & Access Management.

You will be a core technical contributor building secure, scalable software with an agile team and aligning with enterprise AI-assisted practices to improve code quality and delivery speed. You will drive architecture decisions, produce design artifacts, and mentor others while ensuring resiliency and security across cloud-based services and

Qualifications

• Formal training or certification in software engineering with 5+ years of experience.
• 8+ years of software development experience.
• Experience leading AI-assisted development tools and setting validation standards.
• Strong fundamentals in algorithms and data structures.
• Experience with Java, Spring, REST, and microservices.
• CI/CD and source control with Git/Bitbucket.
• Cloud experience (AWS/GCP/Azure).

Responsibilities

• Develop, troubleshoot, and deliver secure production code across multiple domains.
• Lead adoption of AI-assisted engineering practices and establish validation standards.
• Architect and design complex applications with robust design artifacts.
• Work across teams to improve data-driven insights and system resilience.
• Contribute to communities of practice and explore emerging technologies.
• Ensure secure coding and code quality throughout the SDLC.

Skills

Java

Spring Framework

RESTful APIs

Microservices

CI/CD practices

AI-assisted development

Secure coding

Cloud principles

AI-assisted development tools

Algorithms & data structures

Tools

Jenkins

Git

Bitbucket

MS SQL Server

AWS / GCP / Azure

Kubernetes

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, Identity & Access Management, 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:

• Executes 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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 8+ years of software development experience.
• 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
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, and Microservices architectures.
• 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.
• Experience with using relational database like MS SQL Server.
• Experience working on Cloud platform (AWS/GCP/Azure).

Preferred qualifications, capabilities, and skills:

• Experience in Python/Golangand any front technologies like React and NodeJS
• Experience in Identity and Access Management.
• Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.
• Experience in Cloud and Container based development (Gaia, Kubernetes).