Software Engineer II
Mid-level software engineer on JPMorganChase's Corporate & Investment Bank team in Singapore, designing, coding, and troubleshooting secure, scalable banking software on an agile team. Core work spans the full SDLC, modern programming languages, SQL, and enterprise AI-assisted development tools.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Bachelor's degree in Computer Science, Mathematics or related field
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted development tools with ability to validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Nice to have
- Java/SQL/Agile development skill
- Testing skills: functional, regression, and performance
- Fully understand SOLID design concepts
- Good analysis and communication skills
Full description
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 Corporate and Investment Banking, 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 with high quality. 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
Required Qualifications, Capabilities, And Skills
Formal training or certification on software engineering concepts and 2+ years applied experience
Bachelor's degree in Computer Science, Mathematics or a related field
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.