Senior Lead Java Engineer - Payments Tech & AI Delivery

Aumni; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase, within the Commercial & Investment Bank, Payment Services technology team, is seeking a Senior Lead Software Engineer to drive design, development, and delivery of scalable, secure technology products across multiple platforms.

You will lead an agile team, mentor engineers, and collaborate with external vendors and internal stakeholders while advancing AI-assisted engineering practices and strict compliance with security and resiliency standards.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years applied experience.
• Experience delivering Java-based microservices and enterprise-grade applications.
• Hands-on in design, development, testing, and operation with a focus on reliability.

Responsibilities

• Executes creative software solutions and troubleshoots complex problems.
• Develops secure, production-grade code and conducts code reviews.
• Drives adoption of AI-assisted engineering practices to improve quality and speed.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Mentors engineers, sets team output expectations, and manages stakeholder relationships.

Skills

Java

Spring Boot

Microservices

CI/CD

Agile

Security

Cloud native

Team leadership

Education

Bachelor's degree in CS or related field

Tools

AI-assisted development tools

Job description

JPMorganChase, within the Commercial & Investment Bank, Payment Services technology team, is seeking a Senior Lead Software Engineer to drive design, development, and delivery of scalable, secure technology products across multiple platforms.

You will lead an agile team, mentor engineers, and collaborate with external vendors and internal stakeholders while advancing AI-assisted engineering practices and strict compliance with security and resiliency standards.