Lead Software Engineer - Java, AI Lead

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

Job summary

JPMorgan Chase & Co. seeks a Lead Software Engineer in the Corporate Sector, Identity & Access Management, to lead design, development, and security-focused delivery of scalable technology products. You will guide AI-assisted engineering practices and ensure robust architecture across services.

As a core technical contributor, you will produce design artifacts, drive secure coding standards, and collaborate across teams to deliver trusted solutions for the firm’s objectives.

Qualifications

• Formal training or certification in software engineering; 5+ years of applied experience.
• 8+ years of software development experience.
• Experience using AI-assisted development tools and validating AI outputs.
• Strong secure coding practices and data security awareness.
• Strong CS fundamentals, algorithms and data structures.
• Proficiency with Java and Spring Framework; RESTful APIs and microservices.
• Experience with CI/CD, Jenkins, Git, and Bitbucket.
• Experience with relational databases (MS SQL Server).
• Experience with cloud platforms (AWS/GCP/Azure).

Responsibilities

• Executes software solutions, design, development, and debugging with the ability to tackle complex problems.
• Drives team adoption of AI-assisted engineering practices with secure coding and testing standards.
• Applies SDLC tools, including AI-assisted development and automation capabilities.
• Creates secure production code and maintains algorithms.
• Produces architecture and design artifacts for complex applications.
• Identifies patterns to improve coding hygiene and system architecture.
• Contributes to communities of practice exploring new technologies.

Skills

Software development

AI-assisted development

Secure coding

RESTful APIs

Microservices

CI/CD

Education

Software engineering certification

Tools

Jenkins

Git

Bitbucket

CI/CD tools

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/Golang and 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).