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Lead Software Engineer - Post Trade Technology

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 12 days ago

No clicks

**Lead Software Engineer - Post Trade Technology in Singapore** Lead our agile team as a seasoned Software Engineer, driving secure, stable, and scalable technology solutions within JPMorgan Chase's Commercial and Investment Bank Technology department. Design, develop, and maintain market-leading products, leveraging enterprise-authorized AI coding assist tools. Bring 5+ years of experience, a Computer Science degree or equivalent, and expertise in modern programming languages and database querying. Master software development life cycles, agile methodologies like CI/CD, and responsible AI use. Preferred: industry expertise and cloud native experience.

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

Full Job Description

Location: Singapore, Singapore

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment (CIB) Bank Technology under Post Trade Technology team, 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 breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 
  • 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. 
  • 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 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience  
  • Bachelors degree in Computer Science or equivalent
  • 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. 
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. 
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security 

Preferred qualifications, capabilities, and skills

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer - Post Trade Technology

Compensation

Not specified

City: Singapore

Country: Singapore

J.P. Morgan logo
Bulge Bracket Investment Banks

12 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Lead Software Engineer - Post Trade Technology in Singapore** Lead our agile team as a seasoned Software Engineer, driving secure, stable, and scalable technology solutions within JPMorgan Chase's Commercial and Investment Bank Technology department. Design, develop, and maintain market-leading products, leveraging enterprise-authorized AI coding assist tools. Bring 5+ years of experience, a Computer Science degree or equivalent, and expertise in modern programming languages and database querying. Master software development life cycles, agile methodologies like CI/CD, and responsible AI use. Preferred: industry expertise and cloud native experience.

Full Job Description

Location: Singapore, Singapore

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment (CIB) Bank Technology under Post Trade Technology team, 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 breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. 
  • 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. 
  • 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 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience  
  • Bachelors degree in Computer Science or equivalent
  • 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. 
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. 
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security 

Preferred qualifications, capabilities, and skills

  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team