Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Cobranded Cards team in New York. This on-site role requires you to act as a core technical contributor delivering secure, high-quality production code and driving architectural decisions across multiple technical areas to support the firm’s business objectives. Responsibilities include designing and delivering Java-based backend services using Spring Boot on AWS, handling event streaming, and building RESTful APIs with SQL and NoSQL databases such as Oracle, Postgres, and Cassandra. You will review code, automate remediation to improve operational stability, lead sessions with external vendors and internal teams, and promote the adoption of enterprise-authorized AI-assisted engineering practices while ensuring secure coding, testing, and repeatable patterns across the development lifecycle. You will also help drive communities of practice, define validation standards, and coach teams on responsible AI use and secure engineering practices. Qualifications include 5+ years of relevant experience, hands-on design and development of distributed systems, proficiency in Java, Spring, AWS, and API design, experience with microservices, across SQL/NoSQL databases, CI/CD, and security practices; familiarity with AI-assisted development tools and a strong emphasis on security, resiliency, and quality. Preferred qualifications include experience with banking/digital wallets and AWS Certification.

Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Cobranded Cards team in New York. This on-site role requires you to act as a core technical contributor delivering secure, high-quality production code and driving architectural decisions across multiple technical areas to support the firm’s business objectives. Responsibilities include designing and delivering Java-based backend services using Spring Boot on AWS, handling event streaming, and building RESTful APIs with SQL and NoSQL databases such as Oracle, Postgres, and Cassandra. You will review code, automate remediation to improve operational stability, lead sessions with external vendors and internal teams, and promote the adoption of enterprise-authorized AI-assisted engineering practices while ensuring secure coding, testing, and repeatable patterns across the development lifecycle. You will also help drive communities of practice, define validation standards, and coach teams on responsible AI use and secure engineering practices. Qualifications include 5+ years of relevant experience, hands-on design and development of distributed systems, proficiency in Java, Spring, AWS, and API design, experience with microservices, across SQL/NoSQL databases, CI/CD, and security practices; familiarity with AI-assisted development tools and a strong emphasis on security, resiliency, and quality. Preferred qualifications include experience with banking/digital wallets and AWS Certification.