Software Engineer II - Java/ Python / AWS / Kubernetes

Join one of the world's most innovative technology organizations and help shape the future of financial services through cutting-edge engineering. At JPMorganChase, your work isn't just code — it's infrastructure that moves markets, protects millions of customers, and drives real-world impact at global scale. As a Software Engineer II at JPMorganChase within Corporate Technology in Houston, you will design, build, and maintain scalable cloud-native applications and AI-powered solutions that support critical business operations across the firm. You will collaborate with talented engineers and cross-functional teams to deliver high-quality, secure software using modern frameworks, cloud platforms, and intelligent automation. This role offers you the opportunity to grow your technical skills, contribute to meaningful products, and be part of a team that values innovation, inclusion, and continuous learning.

Execute standard software solution design, development, and technical troubleshooting across Java, Python, and Node.js in distributed cloud environments Write secure, high-quality code using at least one programming language, applying best practices with limited guidance and contributing to peer code reviews Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards Design, develop, and troubleshoot software with consideration of upstream and downstream systems and their technical implications across AWS and Kubernetes environments Apply knowledge of Software Development Life Cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation tools, to improve the value realized through automation Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Build and integrate AI and machine learning frameworks into production-grade applications to solve complex business challenges Learn and apply system processes, methodologies, and engineering skills to support the development of secure, stable code and systems Participate in agile ceremonies, technical design discussions, and CI/CD pipeline development to support continuous delivery and operational stability Required qualifications, capabilities, and skills 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 Proficiency in Java or Python as a primary development language, with experience developing, debugging, and maintaining code in a large corporate environment using 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 — including 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 and outputs, and adherence to resiliency and security expectations Experience across the full Software Development Life Cycle, including design, development, testing, and deployment Exposure to agile methodologies and practices such as CI/CD, application resiliency, and security Working knowledge of containerization and orchestration technologies, including Kubernetes and Docker, within AWS cloud environments Preferred qualifications, capabilities, and skills Experience with Node.js for backend or full-stack development Exposure to infrastructure-as-code tools such as Terraform or AWS