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 youare 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 firms 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