As a Software Engineer II at JPMorgan Chase within the Corporate Sector/Audit Technology team, we are seeking innovative, passionate, hands-on developers to solve challenging business problems using cloud-native microservices and rich micro-frontend experiences. We are building the next generation of Internal Audit applications through a multi-year technology transformation that will automate audit workflows using best-in-class technologies and frameworks, delivering a materially improved user experience.

In this role, you will design, build, deploy, and support business-critical enterprise applications across a modern tech stack with strong CI/CD and cloud/container deployment practices. You will contribute to a landscape that includes LLM-powered solutions and emerging AI Agent patterns, partnering closely with product owners and engineering peers to deliver secure, resilient, production-grade software that meets JPMorganChase standards.

Job 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 

Required Qualifications, Capabilities, and Skills (Tech Stack Included)

• Formal training or certification on software engineering concepts and 2+ years applied experience
• 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 Java, Springboot
• 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 

Preferred Qualifications, Capabilities, and Skills

• Experience implementing or integrating LLM-based capabilities (e.g., retrieval patterns, evaluation approaches, guardrails) in enterprise applications.
• Exposure to developing AI Agent-style solutions/workflows and related orchestration patterns.
• Familiarity with additional frontend frameworks such as Angular, React.
• Experience with cloud service integrations and event-driven/messaging patterns is a plus.
• Strong research, investigation, presentation, and evaluation skills, with the ability to communicate technical tradeoffs clearly.