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Salary
≈ $70k – $160k per year (Estimated)
Location
In office (Glasgow)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 12, 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.

As a Senior Backend Software Engineer in the CCOR Technology team, you will design and deliver modern backend services and APIs that support critical workflows for Compliance and Operational Risk. You will partner with Product, Engineering, and other teams to create scalable solutions from concept to production. You will help define service architecture, elevate engineering standards, and foster a culture of innovation and collaboration. Your expertise will drive technical decisions and support the adoption of AI-assisted engineering practices.

Key Responsibilities

  • Lead backend delivery across the full software development lifecycle, including planning, design, implementation, testing, release, and support
  • Build secure, high-quality production code with a focus on maintainability, performance, reliability, and operational readiness
  • Partner with Product, frontend engineers, and downstream consumers to translate requirements into well-defined service contracts and scalable backend solutions
  • Drive backend architecture and technical decision-making, including microservices design, API patterns, data modeling, resiliency, and observability
  • Conduct code reviews and provide actionable feedback to ensure consistency with engineering standards and secure coding practices
  • Mentor and coach junior developers through pairing, design reviews, and ongoing feedback
  • Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while enforcing validation standards

Qualifications

  • Demonstrate hands-on backend development experience with Java and Spring/Spring Boot, including building RESTful APIs and microservices
  • Design and operate production services with a strong focus on resiliency, performance, and observability
  • Work with database technologies such as MongoDB or other enterprise data stores
  • Lead technical execution and operate effectively in a fast-paced, multi-stakeholder environment
  • Apply strong problem-solving, communication, and organizational skills to manage competing priorities
  • Collaborate within Agile teams and DevOps operating models
  • Understand engineering best practices including CI/CD, application resiliency, and secure development

Preferred Qualifications, Capabilities, and Skills:

  • Exposure to cloud technologies
  • Experience applying enterprise-approved AI tools and practices in the software development lifecycle, with sound judgment around validation, security, and quality controls
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