Software Engineering Manager

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking- Data Governance, 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. 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, identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of software applications and systems. As a Lead Software Engineer, 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, contributing to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on software engineering concepts and 5+ years of applied experience, demonstrated coaching and mentoring experience, hands-on practical experience delivering system design, application development, testing, and operational stability. Advanced proficiency in Spring Boot, AWS, Kafka, automation, continuous delivery methods, all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, Security, software applications, technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile), in-depth knowledge of the financial services industry and their IT systems, and practical cloud-native experience. Preferred qualifications, capabilities, and skills include experience in AI/ML.,