at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Full-Stack Java React Software Engineer II** Collaborate with agile teams to design, develop, and deliver financial software at JPMorganChase. As a Software Engineer II, contribute to the Wholesale Loan Technology team, enhancing, designing, and delivering software components securely and at scale. Key responsibilities include executing software solutions, writing high-quality code, leveraging AI-assisted tools, and troubleshooting technical issues. Required skills: 2+ years of applied experience, proficiency in full-stack development using React.js, Java/Spring Boot, and databases like Oracle and Postgres, system design, and understanding of AI in engineering workflows. Experience across the SDLC and exposure to cloud technologies preferred.
- Compensation
- Not specified
- City
- Jersey City
- Country
- United States
Currency: Not specified
Full Job Description
Location: Jersey City, NJ, United States
As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank - Wholesale Loan Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firms 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 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
Adds to team culture of diversity, opportunity, inclusion, and respect
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Proficient in designing and developing full-stack web applications using technologies such as React.js, Vite and Java/Spring Boot, and database technologies like Oracle and Postgres
- 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
Emerging knowledge of software applications and technical processes within a technical discipline (e.g., Infrastructure as Code, Infrastructure as a Service, cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills- Familiarity with modern front and back-end technologies
- Exposure to cloud technologies and Infrastructure as Code and Infrastructure as a Service
