Software Engineer III- Back End- Java- Mid Level- JPM Personal Investing- Madrid

J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals.

As an Engineer at J.P. Morgan Personal Investing, you will be part of a team with great ambitions. We aim to build a top-in-market suite of mobile and web apps to provide the best investment experience for our clients.

Our team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about building quality software that has a big impact in a rapidly changing environment. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects.

• Work with the Product team to understand user's needs and follow an Agile SDLC to develop and deliver product features. Our stack is Java/Springboot with a bit of Kotlin, DynamoDB, Aurora/MySQL and AWS.
• Participate with the rest of the team in the process of designing how our architecture needs to evolve to meet our needs. We use ADRs as part of our decision-making process and our architecture is microservices running on Kubernetes with a heavy use of Kafka and even-driven design.
• Take ownership of tasks from the estimation stage right through until the release stage and post production
• Identify, troubleshoot and resolve existing or newly-identified prioritised defects
• Write tests for all code you deliver and adhere to best practices/standards, ensuring high-quality code
• Take ownership of, or assist others with, releases and associated processes (we try to deploy as often as possible)
• Participate in code reviews, ensuring high code quality and continuous development and learning for yourself and your colleagues
• Be someone who enjoys knowledge sharing, who is keen to attend and participate in some of the many skill share sessions we regularly hold in the team and across the wider Engineering department.
• Propose/contribute/collaborate on Technical Initiatives - improving and evolving the existing codebase and toolset
• Be keen to ensure that we focus on solving the essence of the problem rather than merely dealing with the symptoms
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.