Lead Software Engineer - Middleware

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Lead Software Engineer to drive design, development, and delivery of trusted technology products within Consumer Banking. You will contribute as a core technical leader, shaping secure, scalable solutions across multiple business functions.

The role emphasizes delivering production-grade software, advancing CI/CD practices, and adopting AI-assisted engineering while guiding teams on secure, compliant use and SDLC execution.

Qualifications

• 5+ years of middleware software development experience.
• Deliver system design, application development, testing, and operational stability for production services.
• Develop software with advanced proficiency in at least one programming language.
• Implement automation and continuous delivery (CI/CD) practices.
• Execute across all phases of the Software Development Life Cycle (SDLC).
• Demonstrated experience leading effective use of approved AI‑assisted software development tools 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
• Apply in-depth knowledge of financial services and common enterprise IT systems
• Deliver solutions using practical cloud‑native engineering experience
• Exposure to AWS with Terraform

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
• 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
• 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.

Skills

Middleware software development

CI/CD practices

AI-assisted development tools

Cloud-native engineering

AWS

Terraform

Java

Spring Boot

SQL / Stored procedures

Tools

Kafka

Cassandra

Spark

Hadoop

Oracle

SQL Server

Junit

Mockito

Cucumber

Gherkin

Git

WebSphere MQ/JMS

RabbitMQ

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 JPMorgan Chase within the Consumer 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
• 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
• 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.

Required qualifications, capabilities, and skills

• 5+ years of middleware software development experience
• Deliver system design, application development, testing, and operational stability for production services
• Develop software with advanced proficiency in at least one programming language
• Implement automation and continuous delivery (CI/CD) practices
• Execute across all phases of the Software Development Life Cycle (SDLC)
• 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
• Apply in-depth knowledge of financial services and common enterprise IT systems
• Deliver solutions using practical cloud‑native engineering experience
• Exposure to AWS with Terraform

Preferred qualifications, capabilities, and skills

• Server‑side programming experience (Java; Java plus C/C#/Python acceptable)
• Experience designing and developing high‑throughput, low‑latency solutions for mission‑critical 24/7 applications
• Spring experience (Spring Boot, Spring MVC, Spring Kafka)
• Experience distributing technologies and frameworks (Kafka, Cassandra, Spark, Hadoop)
• Experience writing performant SQL and stored procedures (Oracle/Sybase/SQL Server/CockroachDB)
• Experience using messaging technologies (Kafka, WebSphere MQ/JMS, RabbitMQ)
• Experience building for testability and implement test automation (JUnit/Mockito, Cucumber/Gherkin), and use Git for source control