Lead Software Engineer-Java with Agentic AI

JPMorganChase; Chicago (IL); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase in Chicago invites a Lead Software Engineer to drive secure, scalable technology in consumer & community banking. You will be a core technical contributor shaping solutions across multiple domains.

You will lead AI-assisted engineering practices, mentor teams, and ensure code quality through reviews, automated testing, and secure coding standards. Collaboration with vendors and internal teams is essential to delivering market-leading products.

Qualifications

• Formal training or certification on software engineering concepts.
• 8+ years of applied software engineering experience.

Responsibilities

• Executes creative software solutions, design, development, and debugging with the ability to solve complex problems.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Applies SDLC tooling and AI-assisted development to enhance automation value.
• Leads rollout of BDD and SDD practices across product and engineering teams.
• Builds SDD tooling deriving contract checks, mocks, and validation from machine-readable specs (OpenAPI/Swagger, JSON Schema, AsyncAPI).
• Develops secure and high-quality production code and reviews others’ code.
• Identifies opportunities to automate remediation for stability and performance.
• Leads evaluation Sessions with vendors and teams to assess architecture and integration use.

Skills

AI-assisted development

Leadership experience

Secure coding

Code review

CI/CD

Agile methodologies

OpenAPI/Swagger understanding

Education

8+ years software engineering experience

Tools

AWS - EKS

Kafka

Spring Boot

OpenAPI/Swagger

JSON Schema

AsyncAPI

Kafka parsers

CI/CD tooling

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 breakdown technical problems
• 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.
• Lead the rollout of BDD and SDD practices across product and engineering teams
• Build SDD tooling that derives contract checks, mocks, and validation from machine-readable specs (OpenAPI/Swagger, JSON Schema, AsyncAPI for Kafka) as the source of truth.
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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 8+ 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
• Strong software engineer with hands-on experience using AI coding assistants/agents to design, implement, test, and debug production code
• Proficient in Core Java, J2EE, and Spring Boot with strong coding skills.
• Experienced in build and deployment processes
• Knowledgeable in EKS, Kafka, and message parsers
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience using AWS - EKS and Bedrock
• AI-Agentic approach in automation
• Experience in performance engineering is a plus