Software Engineer II

JPMorgan Chase & Co.

Singapore

On-site

SGD 60,000 - 90,000

Full time

5 days ago
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Job summary

JPMorgan Chase & Co. in Singapore is seeking a Software Engineer II to join an agile team delivering secure, scalable software components for our corporate and investment banking tech stack.

You will design, develop, test, and troubleshoot software with guidance, while leveraging AI-assisted coding tools and enterprise SDLC practices to improve quality and speed. This role emphasizes secure, resilient systems and collaboration across teams.

Qualifications

  • Formal training or certification in 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 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.

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, 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.

Skills

Software engineering
Agile development
Problem solving
Communication

Education

Bachelor's degree in Computer Science, Mathematics or related field

Tools

CI/CD tooling
AI-assisted development tools
SQL databases

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.
  • 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
Preferred qualifications, capabilities, and skills
  • Java/SQL/Agile development skill
  • Testing skills about functional, regression and performance
  • Fully understand the SOLID design concepts.
  • Good analysis and communication skill
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