Lead Middleware Engineer - AI-Driven, Cloud-Native & Secure

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