Location: GLASGOW, LANARKSHIRE, United Kingdom

Join us and make a real impact as a Lead Software Engineer, where you’ll help shape market-leading technology products in a supportive, innovative environment. You’ll collaborate with talented professionals, solve complex challenges, and grow your expertise while driving the adoption of new technologies. We value your technical leadership, creativity, and commitment to continuous improvement.

Job Summary:
As a Lead Software Engineer at JPMorgan Chase, you will be an integral part of an agile team that enhances, builds, and delivers trusted technology solutions. You will serve as a core technical contributor, developing critical solutions across multiple technical areas to support the firm’s business objectives. You will foster a culture of innovation, technical excellence, and collaboration.

Job Responsibilities:

• Execute creative software solutions, design, development, and technical troubleshooting to build and optimize technology products.
• Develop secure, high-quality production code, and review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials.
• Lead communities of practice across Software Engineering to drive awareness and adoption of new technologies.
• Design, develop, and deploy AI/ML/LLM/GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification in software engineering concepts with applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Professional experience with Java (Spring/Spring Boot) and JavaScript (React), with experience across the software development life cycle.
• Exposure to agile methodologies such as CI/CD, application resiliency, and security.
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile).
• Experience with Kubernetes and AWS services (EKS, RDS, Lambda, S3), including containerized application deployment and operational best practices.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.
• Hands-on experience with Python.