Software Engineer II

About the Role

As a Software Engineer II at JPMorganChase within the Corporate Sector, 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 Agentic AI 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.

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

• Formal degree on software engineering concepts and 2+ years applied experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Java, Python, Golang) and database querying languages.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Exposure to building AI agents and usage of agentic frameworks.
• 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

• Formal degree on software engineering concepts.
• 2+ years applied experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment.
• Experience with one or more modern programming languages (Java, Python, Golang).
• Experience with database querying languages.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Exposure to building AI agents.
• Exposure to usage of agentic frameworks.
• Hands-on experience using enterprise-authorized AI-assisted software development tools.
• Demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use.
• Experience across the whole Software Development Life Cycle.
• Exposure to agile methodologies (e.g., CI/CD, Application Resiliency, Security).