Fullstack Java Engineer, Data Platform & AI Tools

JP Morgan Chase; Scotland; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

JPMorgan Chase is hiring a Software Engineer III within Asset & Wealth Management – Data & Analytics. You will build the instrument reference data platform, write Java services, and enable data sharing across teams in US, EMEA and APAC.

You’ll work in a cloud environment, advancing AI/automation tools for engineers and delivering scalable, secure data solutions. The role emphasizes design, production stability, and mentoring, with opportunities to contribute reusable patterns and drive platform

Qualifications

• Formal software engineering education or equivalent experience.
• Hands-on Java 17+ with Spring Boot in large enterprise settings.
• Experience building data-centric services with Kafka, REST/GraphQL APIs.
• Strong design, testing, and production-support capabilities.
• Familiarity with AI-assisted development tools and secure coding practices.

Responsibilities

• Design, develop and maintain core Java/Spring Boot services and APIs.
• Handle event streaming with Kafka and ensure scalable data distribution.
• Debug, deploy and operate data platform components in production.
• Lead reviews, tests and security improvements across releases.
• Create architecture artifacts and reusable patterns for the team.
• Mentor engineers and contribute tooling to the group.
• Build automation and AI-based tooling to boost productivity.
• Collaborate with business/product teams to scale platform capabilities.

Skills

Java

Spring Boot

Kafka

GraphQL

REST APIs

CI/CD

Security

Agile

Mentoring

Education

Bachelor's degree in Computer Science

Tools

AWS

Terraform

Drools

Liquibase

Cucumber

SQL

NoSQL

Job description

JPMorgan Chase is hiring a Software Engineer III within Asset & Wealth Management – Data & Analytics. You will build the instrument reference data platform, write Java services, and enable data sharing across teams in US, EMEA and APAC.

You’ll work in a cloud environment, advancing AI/automation tools for engineers and delivering scalable, secure data solutions. The role emphasizes design, production stability, and mentoring, with opportunities to contribute reusable patterns and drive platform