Lead Software Engineer - Java & AI

JPMorgan Chase & Co.; Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to drive development of trusted market-leading technology within Consumer & Community Banking. You will lead production-grade code delivery, embracing AI-assisted engineering practices to boost quality, velocity, and security across microservices and cloud platforms.

The role requires 5+ years in software engineering, expertise in Java/Python/C#, and hands-on experience with LLMs and AI/ML frameworks.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Demonstrated experience leading effective use of AI-assisted software development tools with team validation of AI outputs.
• Strong understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Executes creative software solutions, design, development, and debugging of complex systems.
• Develops secure high-quality production code and reviews peers' code.
• Leads adoption of AI-assisted engineering practices and validation standards across the team.
• Applies SDLC tools to improve automation and value delivery.
• Identifies opportunities to automate remediation and improve stability of software applications.
• Leads architecture evaluation sessions with vendors and internal teams.
• Leads communities of practice to promote new technologies.

Skills

Java

Python

C#

LLMs

Generative AI

AWS

GCP

Azure

Microservices

REST APIs

Docker

Kubernetes

Jenkins

Postman

Eclipse

Maven

IntelliJ

JUnit

Education

Software engineering degree or equivalent

Tools

Docker

Kubernetes

Jenkins

Postman

Eclipse

Maven

IntelliJ

REST Assured

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 Consumer & Community Banking, youare 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 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

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied 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
• Advanced proficiency in programming languages (Java, Python, C#, etc.)
• Hands-on work with Large Language Models (LLMs) and generative AI.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Experience with distributed systems and cloud platforms (AWS, GCP, Azure).
• Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL).
• Familiarity with containerization tools (Docker, Kubernetes, Helm).
• Experience with performance testing tools (JMeter, Blazemeter) and Chaos Monkey Testing.
• Skilled in development and testing tools and frameworks (JUnit, UDF, Tophat, Cucumber, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).

Preferred qualifications, capabilities, and skills:

• Cloud certification (AWS, GCP, Azure).
• Practical cloud-native development experience.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience in creating and executing performance and chaos test scripts.
• Experience in or understanding of A/B Testing, Chaos Monkey Testing, Engineering principles.
• Effective communication across teams and management, with a proactive approach to process improvement.
• Strong system design, application development, and operational stability skills.