Lead Software Engineer-Java and AWS

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you will have the opportunity to impact your career and embark on an adventure where you can push the limits of what's possible. You will be a seasoned member of an agile team tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities will include implementing critical technology solutions across multiple technical domains and supporting various business functions to achieve the firm's business objectives. - Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Develops secure high-quality production code, reviews, and debugs code written by others - Identifies opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems - Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture - Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Qualifications Required: - Hands-on practical experience delivering system design, application development, testing, and operational stability of Java, Spring Boot, Microservices, AWS, and Kafka applications - Proficiency in automation and continuous delivery methods - Proficient in all aspects of the Software Development Life Cycle - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security - Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) - In-depth knowledge of the financial services industry and their IT systems - Practical cloud-native experience Preferred qualifications: - Proficiency in Kafka is a plus - Knowledge of Performance Engineering and Chaos Engineering,