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Middleware Software Engineer Jobs (NOW HIRING)

Chamberlain Group

$159K/yr

Design, develop, and maintain middleware components, APIs, and platform services that support the Chamberlain Group's myQ ecosystem. Supervise and lead 2-3 software engineers (onshore and offshore ...

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How much do middleware software engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for middleware software engineer in the United States is $56.53, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $64.18 per hour, depending on experience, location, and employer.

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Infographic showing various Middleware Software Engineer job openings in the United States as of June 2026, with employment types broken down into 12% Full Time, and 88% Part Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $117,586 per year, or $56.5 per hour.

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

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 9 days ago

Key responsibilities

  • Develop, review, and troubleshoot secure high-quality production code for middleware systems.

  • Identify and automate remediation of recurring issues to improve operational stability.

  • Lead evaluation sessions with external vendors and internal teams to assess architectural designs and technical applicability.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

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
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