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Salary
≈ $78k – $177k per year (Estimated)
Location
In office (Glasgow)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Jul 23, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Push the limits of what's possible with us as an experienced member of our Software Engineering team.

As a Software Engineer at JPMorganChase within the CIB - Markets Technology, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

  • Design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
  • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problem
  • Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
  • Produce and contribute to architecture and design artifacts for applications while ensuring design constraints are met by software code development
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies
  • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
  • Apply 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
  • Add to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Proficient in coding in Java 8/11/17 and above
  • Demonstrated, hands-on expertise in Spring Boot for building RESTful microservices, including configuration, dependency injection, and production-ready deployments.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations etc.)

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies, specifically Amazon Web Services (AWS)
  • Familiarity with NoSQL database such as Cassandra/MongoDb
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