Senior Fullstack Java Engineer - AI, Cloud & Automation

JP Morgan Chase

Glasgow

On-site

GBP 60,000 - 100,000

Full time

6 days ago
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Job summary

JPMorgan Chase in Glasgow is seeking a Software Engineer III to help design and deliver a strategic data and analytics platform. You will write core Java services on AWS and contribute to expanding onboarding across US, EMEA and APAC while exploring AI and automation capabilities to boost engineering productivity.

The role offers exposure to scalable cloud-native systems, code reviews, and collaboration with product teams to support global investment operations.

Qualifications

  • Strong hands-on proficiency in Java, Spring boot and building production services in a large enterprise environment.
  • Experience using AI-assisted software development tools and evaluating outputs for correctness, performance and security.
  • Understanding of responsible AI use, data sensitivity and secure handling within engineering workflows.
  • Knowledge of the Software Development Life Cycle.

Responsibilities

  • Tackle complex technical problems to build scalable, resilient solutions from design through production.
  • Develop, debug, and maintain production services in a large enterprise environment using modern languages and DB querying.
  • Conduct thorough code reviews and debugging to uphold engineering excellence.
  • Build automation and AI-based tooling to raise engineering leverage and share reusable patterns.
  • Collaborate with engineering and product teams to deliver platform capabilities at scale.

Skills

Java & Spring Boot
SDLC knowledge
Responsible AI practices
Code reviews & debugging

Tools

AWS Cloud Services
Terraform
AI-assisted dev tools
Python

Job description

JPMorgan Chase in Glasgow is seeking a Software Engineer III to help design and deliver a strategic data and analytics platform. You will write core Java services on AWS and contribute to expanding onboarding across US, EMEA and APAC while exploring AI and automation capabilities to boost engineering productivity.

The role offers exposure to scalable cloud-native systems, code reviews, and collaboration with product teams to support global investment operations.

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