Software Engineer II - Java, AWS

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 CIB Payments, 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.

With a payments platform deployed to private cloud using Kubernetes and moving to AWS, you’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• 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
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems