Software Engineer II - Java, Kafka, Microservices , Kubernetes

• Description
• 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 JPMorgan Chase within the Corporate & Investment Bank, you are part of an agile team that designs, enhances, and delivers software components for the firm’s state-of-the-art technology products, ensuring they are secure, stable, and highly scalable.

• 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 - Java, Multithreading, Kafka
• •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

• Preferred qualifications, capabilities, and skills
• •Familiarity with modern front-end technologies
• •Relevant experience in designing, developing, and implementing software solutions, constantly seeking to be an expert