Lead Software Engineer - Java

JPMorganChase • Jersey City, NJ

22h

About The Position

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking, you will contribute to an agile team building and enhancing trusted technology products that are secure, stable, and scalable. You will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role includes hands-on Java backend engineering, technical leadership, and guiding the team’s responsible use of approved AI-assisted engineering tools.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, or troubleshooting, and setting expectations for validating AI outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and compliance with resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
• Strong hands-on Java backend development and Spring Boot experience in production environments.
• Ability to design scalable, secure services using microservices and API-driven architectures.
• Strong engineering fundamentals, including object-oriented programming, design patterns, concurrency, debugging, and performance tuning.
• Testing experience with unit and integration testing, automation, and code quality practices.
• Advanced proficiency in programming languages such as Java, Python, or C#.
• Hands-on experience with large language models and generative AI.
• Experience with distributed systems and cloud platforms such as AWS, GCP, or Azure.
• Expertise in microservices, RESTful APIs, and relational or NoSQL databases.
• Experience with development and testing tools or frameworks including JUnit, UDF, Tophat, Cucumber, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, and IntelliJ.
• Experience with performance testing tools such as JMeter or Blazemeter and with Chaos Monkey Testing.

Nice To Haves

• Cloud certification in AWS, GCP, or Azure.
• Practical public cloud development experience.
• In-depth knowledge of the financial services industry and its IT systems.
• Experience with Wealth Planning tools.
• Effective communication across teams and management, with a proactive approach to process improvement.
• Strong system design, application development, and operational stability skills.
• Familiarity with AI/ML frameworks such as PyTorch, scikit-learn, or Hugging Face.

Responsibilities

• Design, develop, and troubleshoot creative software solutions, including approaches that go beyond conventional methods to address technical problems.
• Develop secure, high-quality production code and review and debug code written by others.
• Lead team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; set validation standards for security, peer review, and automated testing, and encourage reuse of effective patterns.
• Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Identify opportunities to eliminate recurring issues or automate their remediation to improve application and system stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
• Lead Software Engineering communities of practice to increase awareness and use of new and leading-edge technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed