Lead Software Engineer - Java- Front Office

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in New Jersey. You will design, develop, and troubleshoot complex software solutions while thinking beyond routine approaches to break down technical problems. The role emphasizes AI-assisted tooling, secure coding, and scalable architectures.

You will drive adoption of enterprise-approved AI practices, mentor teams, and collaborate across the organization to deliver high-quality production code and robust systems.

Qualifications

• Bachelor of Science in Computer Science and/or Math.
• 5+ years Python/Java applications development.
• 5+ years Microservices/AWS cloud development.
• 5+ years relational database development (Oracle).
• Experience with AI-assisted development tools and secure coding practices.

Responsibilities

• Develop secure, production-grade code and review peers' code.
• Drive enterprise AI-assisted engineering practices to improve quality and speed.
• Guide architectural design decisions and align with information architecture.
• Lead evaluations with external vendors and internal teams on designs and credentials.
• Foster a diverse, inclusive team culture.

Skills

Python / Java development

Microservices / AWS

Relational database development

AI-assisted tooling

Secure coding practices

Education

Bachelor of Science in Computer Science or Math

Tools

Python

Java

Spring

Hibernate

REST Web Services

Job description

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you will execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Bachelor of Science degree in Computer Science and/or Math
• 5+ years Python / Java applications development experience (Python / Core Java / Advanced Java / Spring / Hibernate / JAXB / REST Web Services)
• 5+ years of Microservices / AWS cloud development
• 5+ years of strong relational database development (Oracle) and Object-Oriented databases
• 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
• Knowledge of multi-threaded programming and memory management
• Knowledge of Unix shell scripting
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Strong object-oriented design skills

Preferred Qualifications, Capabilities, and Skills

• Experience with Python, Apache Arrow, Pandas, Rust and/or Parquet
• Experience contributing to open source projects
• Agentic AI Development.
• Prior experience to JPMC internal Athena tool would be added advantage.