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Software Engineer II, Payments Technology

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 5 days ago

No clicks

**Software Engineer II, Payments Technology - Singapore** Design, develop, and maintain secure, scalable payment technology solutions. Key responsibilities include translating complex problems into actionable tasks, creating efficient, well-documented code, collaborating with teams to improve software applications, and driving continuous improvement through data analysis. Leverage agile methodologies and enterprise-authorized AI-assisted tools. Must have 2+ years of software engineering experience, bachelor's degree in computer science, and proficiency in modern programming languages. Familiarity with cloud technologies preferred.

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

Full Job Description

Location: Singapore

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorganChase within the Payments Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

 

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • 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

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Bachelors Degree in Computer Science or equivalent 
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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.

 

Preferred qualifications, capabilities, and skills

 

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer II, Payments Technology

Compensation

Not specified

City: Singapore

Country: Singapore

J.P. Morgan logo
Bulge Bracket Investment Banks

5 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer II, Payments Technology - Singapore** Design, develop, and maintain secure, scalable payment technology solutions. Key responsibilities include translating complex problems into actionable tasks, creating efficient, well-documented code, collaborating with teams to improve software applications, and driving continuous improvement through data analysis. Leverage agile methodologies and enterprise-authorized AI-assisted tools. Must have 2+ years of software engineering experience, bachelor's degree in computer science, and proficiency in modern programming languages. Familiarity with cloud technologies preferred.

Full Job Description

Location: Singapore

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorganChase within the Payments Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

 

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • 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

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Bachelors Degree in Computer Science or equivalent 
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • 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.

 

Preferred qualifications, capabilities, and skills

 

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team