Lead Software Engineer - Java & AI

JP Morgan Chase; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase in Plano, TX, seeks a Lead Software Engineer to drive design, development, and delivery of trusted, scalable technology products in Consumer & Community Banking. You will be a core technical contributor, shaping solutions across multiple domains and collaborating with stakeholders to meet business goals.

Lead the adoption of enterprise AI-assisted engineering practices, ensure secure coding, performance, and reliability, and mentor teams while aligning with architectural standards

Qualifications

• 5+ years of software engineering experience.
• Strong experience with AI-assisted development tools and code reviews.
• Knowledge of secure coding practices and incident handling.
• Experience with distributed systems and cloud platforms.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting across multiple areas.
• Develops secure high-quality production code, and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and reliability.
• Applies SDLC toolchain knowledge and automation to improve value of development work.
• Identifies opportunities to automate remediation and improve operational stability.
• Leads evaluation sessions with vendors and internal teams on architecture and feasibility.

Skills

Java

Python

C#

LLMs

AI-assisted development

Secure coding

Distributed systems

Microservices

REST APIs

Cloud platforms

AWS

GCP

Azure

CI/CD

Test automation

Code review

Tools

Docker

Kubernetes

Jenkins

Postman

JUnit

Eclipse

IntelliJ

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, 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 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.