Full Stack Software Engineer II - Java

Job description

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.

As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Execute standard software solutions through design, development, and technical troubleshooting across multiple system components
• Write secure, high-quality code using at least one programming language with limited guidance
• Design, develop, and troubleshoot with consideration of upstream and downstream systems and their technical implications
• Apply technical troubleshooting skills to break down and solve technical problems of basic complexity
• Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learn and apply system processes, methodologies, and best practices for the development of secure, stable code and systems
• Contribute to a team culture of diversity, opportunity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the full Software Development Life Cycle Exposure to agile methodologies such as continuous integration/continuous delivery, application resiliency, and security practices Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills
• Familiarity with modern front-end technologies Exposure to cloud technologies Experience with Java, Spring Boot, Kafka, or Kubernetes in an enterprise environment
• Familiarity with container orchestration and microservices architecture patterns