Software Engineering Manager

You have an exciting opportunity to impact your career and embark on an adventure where you can push the boundaries of what's achievable. As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Governance, you play a crucial role in an agile team dedicated to enhancing, constructing, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role as a core technical contributor involves devising critical technology solutions across multiple technical domains within different business functions to support the firm's business objectives effectively. - Execute innovative software solutions, encompassing design, development, and technical troubleshooting, by leveraging your ability to think beyond conventional approaches. You will be tasked with building solutions and tackling technical problems in a creative manner. - Develop secure high-quality production code, conduct code reviews, and debug code authored by others. Identify opportunities to automate remediation of recurring issues to enhance the overall operational stability of software applications and systems. As a Lead Software Engineer, you will steer evaluation sessions with external vendors, startups, and internal teams to facilitate outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture. Additionally, you will spearhead communities of practice across Software Engineering to promote the adoption of new and cutting-edge technologies, contributing to a team culture characterized by diversity, equity, inclusion, and respect. **Qualification Required:** - Formal training or certification in software engineering concepts and a minimum of 5 years of practical experience. - Demonstrated coaching and mentoring skills. - Proficiency in Spring Boot, AWS, Kafka, automation, continuous delivery methods, all facets of the Software Development Life Cycle, agile methodologies like CI/CD, Application Resiliency, Security, software applications, technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning), comprehensive knowledge of the financial services industry and its IT systems, and practical experience in cloud-native solutions. **Preferred Qualifications:** - Experience in AI/ML. (Note: No additional details about the company were provided in the job description),