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 a Manager of Software Engineering at JPMorgan Personal Investing, you will be a credible engineering leader, in charge of a squad of engineers, technically savvy to influence your squad’s technical implementations and confident enough to challenge architecture decisions as you maintain focus on delivering initiatives and demonstrating customer value every step of the way.
Our Invest 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 new technology. 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 – and depending on your strengths and interests, you'll have the opportunity to move between them.
Job responsibilities:
- Lead a squad of engineers to design, implement and maintain the payments area of the Invest Tribe within Chase UK.
- Line-manage an engineering squad; set clear goals, support development and build up the team’s delivery capability.
- Conduct thorough code reviews to ensure high-quality, maintainable, and efficient code, while providing constructive feedback to team members.
- Engage in hands-on coding to contribute to the development of key features and solutions, demonstrating best practices and technical expertise.
- Lead by example, setting high standards for code quality, work ethic, and collaboration within the squad.
- Mentor and guide engineers in the squad, fostering a culture of continuous learning and improvement.
- Collaborate with product managers and other stakeholders to align technical efforts with business goals and deliver impactful results.
- Facilitate regular team meetings and retrospectives to promote open communication and address any challenges or roadblocks.
- Collaborate with Technical Leads and Principal engineers to design robust, scalable, and maintainable technical solutions.
- Operate with a data-driven mindset; establish and track metrics across delivery, systems health and customer journeys.
- Foster an inclusive culture of high-quality engineering in your team and across the organization, implement best practices and aim for top engineering. standards
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Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
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Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities and skills:
- Formal training or certification on team management concepts and proficient advanced experience.
- Great team player with strong technical background, focused on achieving best outcomes collaboratively among a group of peers with equally strong technical views.
- Business-driven mentality, you can understand business and product requirements and come up with an optimal engineering approach for a given problem.
- Progressive mindset, you embrace challenging the status quo to faster achieve the business goals
- Extensive experience with a JVM language Extensive experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines.
- Proven track record in designing and operating microservices using Cloud technology and event driven architectures.
- Strong people management qualities; focus on acquiring, retaining, and growing talent to form and evolve a highly effective delivery team
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Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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
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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 senior engineers/leads on compliant usage patterns and controls.
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