Lead Software Engineer-Java-JPM Personal Investing

Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach to investing, and the trust that 150 years of J.P. Morgan heritage brings.

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.

Job Responsibilities 

• 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 

• 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.

Required qualifications, capabilities and skills 

• English working proficiency is a must, you will be working with the team in London 
• You have a product engineer mindset and a track record of delivering high quality software that adjusts to business and product needs to provide a great user experience in a timely manner 
• Experience with a JVM language (Java/Scala/Kotlin) and Springboot 
• Experience designing systems from scratch as well as understanding how to evolve existing architectures to achieve new goals, both serverless and managed in the cloud 
• Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka 
• Experience with monitoring and alerting in order to maintain a production environment  
• Good understanding of REST and what it means to work with APIs 
• Experience with Git flow 
• Good communication skills, you can work well within a delivery team and manage interactions with other parts of the organisation, such as Product and Operations 
• Curious about new ways of working and open to different approaches and ideas  
• Proactive and willing to help others put forward ideas 

• 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- nice to haves 

• Experience with DynamoDB and/or Aurora 
• Experience in the FinTech sector 
• Experience developing a multi-country product with multiple localizations and currencies. 
• Show us your Github/Stack Overflow/app portfolio! 

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