Lead Software Engineer - Back-end Engineer

Job Description:

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.

As a Lead Software Engineer - Back-end Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud and financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations, reward campaigns, call-centre supporting innovations and more.

Job responsibilities:

• Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices.
• Use domain modelling techniques to allow us to build best-in-class business products.
• Structure software so that it is easy to understand, test and evolve.
• Build solutions that avoid single points of failure, using scalable architectural patterns.
• Develop secure code so that our customers and ourselves are protected from malicious actors.
• Promptly investigate and fix issues and ensure they do not resurface in the future.
• Make sure our releases happen with zero downtime for our end-users.
• See that our data is written and read in a way that's optimized for our needs.
• Keep an eye on performance, making sure we use the right approach to identify and solve problems.
• Ensure our systems are reliable and easy to operate and keep us up to date by continuously updating our technologies and patterns.
• Support the products you've built through their entire lifecycle, including in production and during incident management.
• Drive 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.
• Apply 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.

Required qualifications, capabilities and skills:

• Formal training or certification on software engineering concepts and applied experience.
• Recent hands-on professional experience as a back-end software engineer.
• Experience in coding in a recent version of the Java programming language.
• Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
• Excellent written and verbal communication skills in English.
• Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.
• Knowledge of messaging frameworks.
• Seasoned with operating, supporting and the security of mission-critical software applications.
• Understanding of different kinds of data stores (including relational data stores).
• Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
• Manage stakeholders and effectively prioritize work across multiple work streams.
• 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.

Preferred qualifications, capabilities and skills:

• Experience in working in a highly regulated environment or industry.
• Seasoned with cloud-native microservices architecture.
• Proficient with AWS cloud technologies.