Lead Software Engineer - Java, AI

Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GBJob Schedule Full timeJob Shift Day

Job Description

Join JPMorganChase, where technology powers the future of global finance. As part of our Corporate Technology organization, you'll work alongside some of the brightest engineering minds in the industry, building resilient, scalable systems that serve millions of customers and businesses worldwide. Here, your work doesn't just solve technical problems — it drives real business outcomes at extraordinary scale. We invest in your growth, champion collaboration, and give you the tools to do the best work of your career.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will play a pivotal role in designing and delivering high-quality software solutions that power critical enterprise platforms. You will bring technical depth, a collaborative mindset, and a passion for engineering excellence to a team that values innovation and continuous improvement. Your contributions will directly influence the reliability, scalability, and performance of systems that matter to the firm and its clients.

Job responsibilities

Design and develop robust, scalable Java-based applications that meet complex enterprise requirements across multiple business domains

Lead the architecture and implementation of cloud-native solutions on AWS, ensuring high availability, security, and performance

Drive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software delivery

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

Collaborate with cross-functional teams including product, architecture, and business stakeholders to translate requirements into technical solutions

Conduct thorough code reviews and establish engineering best practices that elevate the quality and consistency of the team's output

Mentor and coach junior engineers, fostering a culture of learning, ownership, and technical growth

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience

Advanced proficiency in Java, including experience building and maintaining large-scale, production-grade applications

Hands‑on experience designing and deploying cloud-native solutions on AWS (e.g., EC2, S3, Lambda, RDS, EKS)

Demonstrated experience building and maintaining CI/CD pipelines using industry-standard tools

Strong understanding of software design patterns, distributed systems, and microservices architecture

Proven ability to lead technical discussions, influence design decisions, and drive alignment across engineering teams

Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications, capabilities, and skills

Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation

Familiarity with containerization and orchestration technologies such as Docker and Kubernetes

Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms

Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment

Knowledge of security best practices in cloud and application development contexts

About Us

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. Visit ourFAQs for more information about requesting an accommodation.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

#J-18808-Ljbffr