Lead Software Engineer

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Commerical & Investment Bank. You will lead agile teams, deliver secure and scalable market-leading technology, and drive AI-assisted engineering practices across the SDLC to improve code quality and delivery speed.

The role requires 5+ years of software engineering experience, deep knowledge of Python/Java, and a strong focus on responsible AI, security, and operational stability in a financial services context.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Advanced in Python or Java.
• Experience leading effective use of AI-assisted software development tools with the ability to validate AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• In-depth knowledge of the financial services industry IT systems.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting across complex problems.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed.
• Applies SDLC tools to improve automation and value.
• Identifies opportunities to automate remediation for better stability of software applications.
• Leads evaluation sessions with external vendors and internal teams on architectural designs and applicability.

Skills

Python

Java

Agile methods

CI/CD

Tools

AI-assisted development tools

Code review tooling

Automated testing

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 JPMorganChase within the Commerical & Investment Bank, you are 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 creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s); Python or Java
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Experience in Agentic AI, MCP development & cloud native