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Senior Associate Software Engineer- Java

jpmc.fa|cx_2001

GLASGOW, LANARKSHIRE, United Kingdom

  • Full Time
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About the role

As a Senior Backend Software Engineer in the CCOR Technology team, you will design and deliver backend services and APIs that support essential compliance and risk operations. You will partner with Product, Engineering, and other teams to bring scalable solutions from concept to production. You will help define service architecture, elevate engineering standards, and foster a culture of innovation. 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
  • Build secure, high-quality production code focused on maintainability, performance, and reliability
  • Partner with Product, frontend engineers, and downstream consumers to translate requirements into scalable backend solutions
  • Drive backend architecture and technical decision-making, including microservices design, API patterns, and data modeling
  • Conduct code reviews and provide actionable feedback to ensure consistency with engineering standards
  • 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 and delivery speed

 

Qualifications

  • Demonstrate hands-on backend development experience with Java and Spring/Spring Boot
  • Build RESTful APIs and microservices for production environments
  • Work with database technologies such as MongoDB or other enterprise data stores
  • Lead technical execution in fast-paced, multi-stakeholder environments
  • Apply strong problem-solving, communication, and organizational skills
  • 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