Lead Software Engineer - Java, AWS

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Digital and Platform Services line of business, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products securely and at scale. Your responsibilities include: - Executing creative software solutions, design, development, and technical troubleshooting with a mindset to innovate beyond conventional approaches - Developing secure high-quality production code, reviewing and debugging code authored by peers - Identifying opportunities to automate remediation of recurring issues for improved operational stability of software applications and systems - Leading evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented architectural designs and technical credentials - Leading communities of practice to promote the awareness and utilization of new technologies - Contributing to a team culture that values diversity, opportunity, inclusion, and respect Qualifications and skills required for this role: - Formal training or certification in software engineering concepts with at least 5 years of applied experience - Hands-on experience in system design, application development, testing, and operational stability - Proficiency in coding Java applications using Spring Boot - Practical experience in AWS cloud native technologies like EKS, DynamoDB, Lambda - Strong automation and continuous delivery skills - Comprehensive understanding of the Software Development Life Cycle - Advanced knowledge of agile methodologies, including CI/CD, Application Resiliency, and Security - Proficiency in software applications and technical processes within a technical discipline - In-depth understanding of the financial services industry and its IT systems Preferred qualifications and skills: - Certification as an AWS Cloud Practitioner, Developer, or Solutions Architect is highly preferred - Proficiency in Python, Spark, and Databricks,