Lead Software Engineer

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in Glasgow, UK is seeking a Lead Software Engineer to influence architecture and delivery of Java, React, and microservices-based solutions within Corporate Technology. You will contribute as a core technical member, shaping secure, scalable software across business functions.

The role emphasizes applying AI-assisted engineering practices, secure coding, automation, observability, and cloud-native design to support market-leading technology products.

Qualifications

• Formal training or certification on software engineering concepts.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches to build solutions.

Skills

Java

React

Microservices

API

Spring Boot

Kafka

MongoDB

CI/CD

Agile methodologies

AI-assisted development

Secure coding

Cloud native

Observability

Tools

Splunk

Dynatrace

Grafana

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - Java/Microservices/React at JPMorganChase within the Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• 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
• Advanced in one or more programming language(s) including Java, React, Microservices, API, Springboot, Kafka, MongoDB etc.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience managing projects end-to-end, from requirements scoping to successful launch.
• In-depth knowledge of the financial services industry and their IT systems
• Experience with artificial intelligence and machine learning tools and framework in development.
• Observability and production management tools (ex. Splunk / Dynatrace / Grafana)