Lead Software Engineer - Java & AI

Lead Software Engineer - Java & AI

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
JP Morgan Chase

At a Glance

  • Tasks: Create innovative payment solutions using Java and AI in a dynamic team.
  • Company: Join J.P. Morgan, a global leader in financial services.
  • Benefits: Enjoy competitive pay, remote work options, and professional growth opportunities.
  • Other info: Be part of a diverse team that values inclusion and innovation.
  • Why this job: Make a real impact on global payments while working with cutting-edge technology.
  • Qualifications: Strong coding skills in Java and experience with AI in engineering.

The predicted salary is between 63000 - 77000 £ per year.

Join us on the Graphite team, where you can help deliver a best-in-class payments processing platform that powers global expansion. You will work on mission-critical systems, leveraging your passion for technology and AI to create high-performing, low-latency solutions. Experience the excitement of building impactful products that support diverse payment flows. We offer a collaborative, agile environment where your ideas and expertise are valued, and your work directly supports business growth.

As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud-based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements to coding and supporting solutions in production. In this agile team, you will enhance, build, and deliver trusted technology products, contributing across multiple technical areas to support our objectives. Your role is central to driving innovation and operational stability in a rapidly expanding business.

Job Responsibilities:

  • Execute creative software solutions, design, development, and technical troubleshooting.
  • Develop secure, high-quality production code and review and debug code written by others.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish consistent validation standards, including secure coding, peer review, and automated testing.
  • Promote 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.
  • Lead evaluation sessions with internal teams to assess architectural designs and technical credentials.
  • Lead communities of practice across Software Engineering to promote new and leading-edge technologies.
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills:

  • Hands-on coding experience with a proven track record for success.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Experience coaching engineers on safe, compliant adoption of AI within delivery practices.
  • Practical experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages, ideally Java.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile).
  • Knowledge of the financial services industry, IT systems, and practical cloud-native experience.

Preferred Qualifications, Capabilities, and Skills:

  • Hands-on AI experience with coding and understanding core concepts.
  • Ability to self-drive delivery and take ownership end to end.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Lead Software Engineer - Java & AI employer: JP Morgan Chase

At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Global Financial Crimes Compliance team in EMEA. Our commitment to diversity and inclusion fosters a collaborative work culture where employees are empowered to grow and develop their skills in a dynamic environment. With access to comprehensive training and the opportunity to engage with a wide range of financial services, you will find meaningful and rewarding career advancement in a company that values your contributions.

JP Morgan Chase

Contact Details:

JP Morgan Chase Recruitment Team

We think you need these skills to ace Lead Software Engineer - Java & AI

Java
AI-assisted engineering practices
Software Development Life Cycle (SDLC)
Cloud-native experience
Agile methodologies
Continuous Integration/Continuous Delivery (CI/CD)
Application Resiliency