Overview
In this Lead Software Engineer role within Finance Technology, you drive secure, scalable, and trusted software solutions as a core technical contributor in an agile environment. You will shape architecture, elevate code quality with AI-assisted practices, and partner with cross-functional teams to deliver impactful financial technology. You’ll lead evaluations, promote modern engineering techniques, and foster an inclusive team culture. This position offers the opportunity to influence how high-volume, mission-critical systems are built and operated at scale.
Responsibilities
- Deliver creative software solutions and troubleshoot complex problems beyond routine approaches
- Develop secure, high-quality production code and review others’ code
- Automate remediation opportunities to improve stability of applications and systems
- Lead architectural design evaluations with vendors and internal teams to ensure applicable and robust solutions
- Lead communities of practice to promote new and leading-edge technologies
- Foster a diverse, inclusive team culture
- Drive adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
- Apply SDLC toolchain knowledge, including AI-assisted development and automation, to increase automation value
Key requirements
- Formal training or certification on software engineering concepts and advanced applied experience
- Strong fundamentals in systems design, data structures, algorithms, and architectural thinking
- Hands-on experience in full-stack or cross-functional development across frontend, backend, data pipelines, or mobile
- Proficiency in Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks
- Experience with cloud platforms (preferably AWS) and relational and distributed data platforms (e.g., Oracle, Databricks)
- Advanced understanding of agile methodologies, CI/CD, resiliency, and secure software practices
- Practical understanding of AI/ML concepts and integrating AI/ML into business apps or data workflows
- Hands-on experience with enterprise AI-assisted development tools and ability to validate AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure inputs/outputs, and security/resiliency expectations
- Knowledge of the financial services industry and IT systems
- leadership and mentorship
- cross-functional collaboration
- strong communication
- Java/Spring Boot
- Python/PySpark
- GraphQL
Lead Engineer - Data / Java / Python in Glasgow employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
