Lead Software Engineer - Full stack Engineer, spring boot, AWS

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Architecture and Engineering, you play a vital role in an agile team dedicated to improving, developing, and providing reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing essential technology solutions across diverse technical domains within various business functions to support the firm's strategic goals. You will be responsible for executing 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. Additionally, you will develop secure high-quality production code, review and debug code written by others, and identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems. In this role, you will lead 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. You will also lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, while contributing to a team culture of diversity, equity, inclusion, and respect. The required qualifications, capabilities, and skills for this position include formal training or certification on software engineering concepts and a minimum of 5 years of applied experience. You should have hands-on practical experience delivering system design, application development, testing, and operational stability of applications. Extensive experience as a Fullstack developer with proficiency in java, Spring Boot, microservices, AWS, kafka, Database Technologies, and ReactJS is essential. Additionally, proficiency in automation and continuous delivery methods, as well as a thorough understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, are required. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) is also important. Preferred qualifications, capabilities, and skills include proficiency in Kafka and knowledge of Performance Engineering and Chaos Engineering.,