Lead Java Engineer: AI‑Driven, Secure Cloud Microservices

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer in Identity & Access Management to drive design, development, and secure deployment of market-leading technology products within an agile team.

You will lead AI-assisted engineering practices, mentor engineers, ensure secure coding standards, and collaborate across business functions to deliver scalable solutions on cloud platforms such as AWS, with a focus on reliability and performance.

Qualifications

• 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).

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

Skills

AI-assisted development

Secure coding

Java

Spring Framework

REST APIs

Microservices

CI/CD

Git

Bitbucket

SQL Server

Cloud platforms

Data structures

Algorithms

Education

Formal training in software engineering

Tools

Jenkins

Git

Bitbucket

MS SQL Server

AWS

GCP

Azure

Kubernetes

React

NodeJS

Python

Golang

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer in Identity & Access Management to drive design, development, and secure deployment of market-leading technology products within an agile team.

You will lead AI-assisted engineering practices, mentor engineers, ensure secure coding standards, and collaborate across business functions to deliver scalable solutions on cloud platforms such as AWS, with a focus on reliability and performance.