Software Engineer II - Full Stack Development | Asset Management Technology
JPMorgan
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What development roles keep asking for: Java (18%), AWS (16%), C++ (15%), Python (14%), C# (13%) — counted across their open postings here.
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JPMorgan has 7,217 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join JPMorgan?
- What is your experience with React? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Software Engineer II - Full Stack Development | Asset Management Technology at JPMorgan interview free →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 Asset & Wealth Management, 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. This role is full stack with a heavier emphasis on frontend (React), alongside backend development in Java/Spring Boot and deployment on AWS (as provided). Job responsibilities Execute creative software solutions across design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems Build end-to-end solutions leveraging cloud-native, microservices-based architectures and modern engineering practices 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. 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 Apply domain modeling techniques to structure software for clarity, testability, and evolution Develop secure, high-quality production code; review, debug, and improve code written by others Identify opportunities to eliminate or automate recurring remediation to improve operational stability Promptly investigate and resolve issues and ensure they do not resurface; keep technologies and patterns current Additionally, you will design solutions that avoid single points of failure and support scalable patterns (including zero-downtime releases and optimized data performance where applicable) Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Experience in developing, debugging, and maintaining code across the whole Software Development Life Cycle in a large corporate environment Hands-on practical experience in software engineering experience as a full stack developer, with heavy emphasis on modern frontend development Proficiency with modern frontend stacks (JavaScript/TypeScript) and React (Angular acceptable if strong React capability can be demonstrated) Proficient in Java/Spring Boot, with experience applying microservices architecture patterns. Strong working knowledge of HTML5, CSS, and preprocessors such as Sass/LESS 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. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated ability to independently solve design and functionality challenges with minimal supervision Ability to work in large, collaborative teams with a passion to build an inclusive and innovative culture Preferred qualifications, capabilities, and skills Exposure to cloud technologies and/or relevant certification (e.g., AWS)
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Listed on oraclehcm · posted 2026-10-21. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.