Software Engineer II - Java, Selenium, Cucumber, JMeter, BlazeMeter

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 Commercial & Investment Bank- Payments Technology team, 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.

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

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

• Hands-on practical experience in Automation and Performance Testing

• 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

Preferred qualifications, capabilities, and skills

• Backend developer experience in enterprise application development

• Strong experience in SDLC delivery in Agile methodologies

• Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances

• Experience writing Terraform scripts and deploying in AWS production environment

• Experience in at least one relational database management system (preferably Oracle or PostgreSQL)