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Software Engineer II - Full Stack Development | Asset Management Technology

JPMorgan Chase
New York City, USA
Full-time
Junior · 2+ years experience
Onsite
Discovered 4 days ago
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Full Job Posting

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)

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)

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