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 III at JPMorgan Chase 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 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

• 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

• A. Formal training or certification on software engineering concepts and 3+ years applied experience 
• Proficiency in back-end technologies such as Java and Spring Boot
• Hands-on AWS development experience — building, deploying, and operating production workloads using core AWS services
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition
• 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

• Practical experience with Kubernetes: deploying, operating, and troubleshooting containerized workloads (EKS preferred)
• Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK)
• Familiarity with observability tooling (Prometheus, Grafana, Datadog)
• AWS certifications (Developer Associate, Solutions Architect, or higher)