Lead Software Engineer- Java Full Stack

JPMorgan Chase & Co.Plano, TexasOn-siteFull-timeSenior, 5–8 yearsListed 3 hours ago

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About this role

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer - Identity Access Management at JPMorgan Chase within the CTO Team, you will be part of a team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As a core technical contributor of a software engineering team, you will need to execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

The IAM Team's culture is collaborative, and teams display a zeal to solve problems. Exposure to multiple stakeholders and having thought-provoking technical/business discussions pave the way for diversity of thought and constant learning, which enables us to create the most efficient solutions for our clients.

Job responsibilities:

- Design and develop scalable and resilient systems ­in a timely manner, and perform iterative improvements for product teams​.
- Design, write, comment and unit test code to confirm software modules are of the highest quality.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- 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.
- Handle critical and time sensitive concurrent tasks with supervision and properly escalate situations as appropriate​.
- Identify and implement continuous improvement opportunities, to improve delivery flow across product and technology​.
- Mentor and develop team member’s skills in design, new technology, clean code, TDD, code review, and problem solving
- Investigating and liaising with product/customers to gain information about the program’s overall function and ends user experience.
- Incorporate non-functional requirements including Telemetry, Monitoring, Security, Alerts, Logs into Software solution.
- Assist with production related issues as needed.

Required qualifications, capabilities and skills:

- Formal training or certification on software engineering concepts and 5+ years applied experience
- Expert understanding of OOP concepts, Design Patterns, Extensive Software Analysis and Design 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
- Experience with Java, Web Services (REST, API), Spring Boot, Microservices, Multithreading, database technology such as Oracle / MS SQL / Cockroach
- Experience working with terraform or similar declarative Infrastructure as Code (IaC) tools
- Experience working with Test automation such as Selenium, Cucumber, Blazemeter etc.
- Experience with Agile Development Techniques, Issue/Bug Management and Team Collaboration Tools
- Experience with Git, Jenkins CI/CD, Application Resiliency, and Security
- Experience with Performance, Telemetry, Monitoring, Alerts, Logging etc. non-functional tools.

Preferred qualifications, capabilities and skills

- Experience with customer facing web applications, NOSQL databases such as Mongo, Agentic AI
- Strong interpersonal and communication skills
- Independent and self-motivated
- Certification such as AI/ML, Java is preferred
- Experience leading a technical team