Full Stack Java Software Engineer II Kafka / Oracle / Python

Job 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 JPMorganChase within the Payments Technology, 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 responsibilitiesDevelop, test, and maintain high-quality software solutions that meet business and technical requirements across the full software development lifecycleWrite clean, efficient, and well-documented code in one or more modern programming languages, ensuring adherence to engineering standards and best practicesParticipate in design and code reviews, providing and incorporating constructive feedback to continuously improve code quality and team practicesContribute to the reliability and stability of production systems by identifying, debugging, and resolving technical issues in a timely mannerCollaborate with cross-functional teams — including product, architecture, and operations — to translate business requirements into scalable technical solutionsApply Agile methodologies and contribute to sprint planning, stand-ups, and retrospectives to support continuous delivery and iterative improvementLeverage enterprise-authorized AI-assisted development tools responsibly to accelerate coding, testing, and documentation workflows while critically evaluating AI-generated outputsSupport the implementation of CI/CD pipelines, security practices, and application resiliency standards to ensure robust and secure software deliveryEngage with modern technical domains such as cloud, AI/ML, and containerization to broaden technical capabilities and contribute to platform modernization efforts Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experienceHands-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 outputsUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsHands-on experience across system design, application development, testing, and production/operational stabilityStrong coding skills in one or more modern programming languagesProven ability to develop, debug, and maintain enterprise-scale code, including database querying, with a solid understanding of the Software Development Life Cycle and end-to-end deliveryPractical experience with Agile ways of working, including CI/CD, application resiliency, and security practices, with exposure to modern technical domains such as cloud, AI/ML, and/or mobile and their supporting technical processesPragmatic mindset to drive technical re-engineering and modernization while continuing to support business delivery Preferred qualifications, capabilities, and skills Proficiency in at least one programming language (such as Java or Python) for automation and process improvementStrong analytical and problem-solving abilities, with experience resolving complex technical issuesExperience with monitoring and alerting tools, and a solid understanding of metrics and system health indicatorsUnderstanding of reliability engineering principles, including automation and incident management