Software Engineer III - Java, Springboot, Cloud

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As an Senior 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. 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.

Job 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
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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 firms technological capabilities.
• Explores and develop strategies for the implementation of cutting-edge technologies across the organization, ensuring they align with the firms long-term objectives.
• Advises cross-functional teams on technological matters within domain of expertise. Create durable, reusable software frameworks that are leveraged across teams and functions.
• Influence leaders and senior stakeholders across business, product, and technology teams.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• 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.)
• Experience in ensuring successful design, development, testing, and implementation of application components for online application using technologies including Core Java, J2EE technologies, web services, tomcat, servlets, JSP, Messaging
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Experience in XML and Service Oriented Architecture; and Experience …