Lead Java Full-Stack AWS Software Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• We require formal training or certification in software engineering concepts and 10+ years of applied experience, with a strong focus on AWS cloud development.
• We require hands-on experience building production-grade software in Java.
• We require experience developing and deploying containers, CI/CD, and DevOps practices.
• We require experience working with both relational and NoSQL databases.
• We require demonstrated experience leading the effective use of approved AI-assisted software development tools, including setting expectations for validating AI outputs for correctness, performance, and security.
• We require a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• We require strong knowledge of distributed systems, microservices architecture, and reliability patterns.
• We require a solid understanding of networking concepts and Unix/Linux environments.
• We require experience analyzing, troubleshooting, and supporting large-scale, cloud-native systems.
• Advanced knowledge of Java, object-oriented programming, and the JVM in AWS environments is preferred.
• Experience with infrastructure as code and modern monitoring/observability practices is preferred.
• Experience working in the financial or fintech industry is preferred.

Responsibilities:

• We design, develop, and deploy high-quality, maintainable, and well-tested software solutions on AWS.
• We architect and implement microservices-based applications, leveraging Kubernetes for orchestration and scalability.
• We collaborate with product and engineering teams to deliver reliable, scalable, and efficient software.
• We participate in design reviews to strengthen architectural resilience, fault tolerance, and scalability.
• We drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• We apply 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.
• We develop and maintain monitoring and alerting systems to ensure comprehensive visibility into system health and performance.
• We troubleshoot and resolve complex technical issues to maintain system integrity and performance.
• We champion best practices in software engineering, reliability, and resiliency, and mentor team members.

Technologies:

• AI
• AWS
• Architect
• CI/CD
• Cloud
• DevOps
• JVM
• Java
• Kubernetes
• Linux
• NoSQL
• Security
• Unix
• microservices
• Support
• Marketing
• Fullstack

More:

We are J.P. Morgan Chase, a global leader in financial services, and within our Commercial & Investment Bank we offer an opportunity to impact your career while working on market-leading technology. Our Trade Controls and Limits Management team in Markets Technology is building a robust multi-asset risk and control management platform that supports low-latency trading activities. We value innovation, stability, scalability, diversity, and inclusion, and we provide a collaborative environment where our people are our strength.

last updated 34 week of 2026