As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, 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.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience with Java/Spring/Spring Boot and AWS or any cloud related technologies.
- Solid experience on application design, coding on Java 8/J2EE distributed application development, REST
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Solid understanding of Domain model micro services, Spring Boot, Netflix frameworks, API gateway
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Responsibilities
- Creates engineering standards and best practices for a broad range applications to be applied across the organization
- Collaborates with architects, engineering directors, and senior application engineers to identify and incorporate business and technology requirements into standard approaches
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Drives adoption of best practices, ensuring high standards of quality, security, and efficiency are maintained across all projects
- Develops tools and practices for ensuring adherence to coding standards and architectural approaches, utilizing industry-standard and the latest AI/ML approaches
- Creates and manages POCs to evaluate the feasibility and impact of new technologies and methodologies, ensuring alignment with business goals and technical requirements.
- Leads AI innovation initiatives by identifying opportunities to integrate artificial intelligence into existing and new products, enhancing the firm's technological capabilities.
Other
- Influence leaders and senior stakeholders across business, product, and technology teams.
