AI Java AWS Lead Software Engineering

Make a difference bringing hands-on leadership in building secure, cloud-native for our customers. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Trust and Security Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities - Design, develop, test, deploy, and support secure, scalable, and resilient software solutions using Java, Spring Boot, AWS cloud technologies, and Kafka - Build and maintain RESTful APIs, microservices, backend services, and event-driven integrations - Develop secure, high-quality production code and review, debug, and improve code written by others - 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. - Lead technical design discussions and contribute to architecture decisions for highly available and maintainable applications - Troubleshoot complex technical issues across applications, cloud infrastructure, eventing platforms, and integrations - Identify opportunities to eliminate, automate, or reduce recurring issues to improve operational stability - Drive engineering best practices, including CI/CD, automated testing, observability, resiliency, secure coding, and production readiness - Partner with product owners, architects, engineering teams, and stakeholders to deliver solutions aligned to business priorities and control requirements - Mentor engineers and contribute to a culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 5+ years applied experience - Strong experience with Java and Spring Boot (8 plus years) - 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 - Experience designing and building RESTful APIs , microservices, and distributed backend services. - Practical experience developing, deploying, or supporting applications using AWS cloud technologies - Experience with Kafka or similar event-streaming platforms - Proficient in all aspects of the Software Development Life Cycle - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security - Experience developing secure production code, performing code reviews, and improving engineering standards. - Strong troubleshooting and problem-solving skills with experience improving production stability. Preferred qualifications, capabilities, and skills - Expertise with modern middleware services technologies - Experience with containerized application delivery and Kubernetes-based platforms - Experience with Kafka-based event-driven architecture , messaging platforms, or streaming technologies - Experience with infrastructure-as-code or cloud deployment automation - Experience with performance tuning, resiliency testing, monitoring, logging, and alerting - Experience working in highly controlled or regulated technology environments - Experience with security, identity, access, fraud, trust, risk, or customer protection platforms