Software Engineer II

About the Role

As a Software Engineer II at JPMorganChase within Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver software components of the firm's technology products in a secure, stable, and scalable way. You will execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system.

Key Responsibilities

• Executes standard software solution design, development, and technical troubleshooting.
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.
• 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.
• 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Applies technical troubleshooting to breakdown 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.
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems.

Requirements & Tech Stack

• Proficiency in Java, Oracle/PostgresSQL & AWS.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• 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.
• Experience across the whole Software Development Life Cycle.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.

Qualifications

• Experience building cloud-native applications; working knowledge of AWS (or comparable cloud platform).
• Hands-on experience on React.
• Good knowledge of Kafka & ElasticSearch.