Lead Software Engineer: AI-Driven, Cloud-Native Platforms

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorganChase in the United Kingdom is seeking a Lead Software Engineer to drive architecture, design, and delivery of trusted market-leading technology products in a secure and scalable way.

You will lead an agile team, contribute across Go-based services and Java/Spring components, and foster a culture of inclusion and technical excellence while leveraging AI-assisted development tools to raise code quality and velocity.

Qualifications

• Formal training or certification on software engineering concepts and advanced applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience with Java, Spring Boot, Spring MVC, and Spring Data in production.
• Demonstrated ability to design and deliver microservices with high reliability and good test coverage.

Responsibilities

• Execute creative software solutions, design, development, and troubleshooting.
• Develop secure, high-quality production code across a Go-based codebase.
• Identify opportunities to automate remediation to improve stability.
• Lead evaluation sessions with vendors and internal teams on architecture.
• Lead communities of practice to promote new technologies.
• Adopt AI-assisted engineering practices to improve code quality and delivery.

Skills

Go

Java

Spring Boot

Microservices

Cloud-native

AI-assisted DevTools

Security awareness

Team leadership

Education

Formal training or certification on software engineering concepts

Tools

Docker

Kubernetes

Starlark

Groovy

CI/CD

REST APIs

Job description

JPMorganChase in the United Kingdom is seeking a Lead Software Engineer to drive architecture, design, and delivery of trusted market-leading technology products in a secure and scalable way.

You will lead an agile team, contribute across Go-based services and Java/Spring components, and foster a culture of inclusion and technical excellence while leveraging AI-assisted development tools to raise code quality and velocity.