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Software Engineer III - Java, Database, AWS

Singapore

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at JPMorgan Chase
Education & alternatives
Required qualifications, capabilities, and skills - Bachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines - Minimum 5 years of Software development hands on experience

Tools in this posting

  • Java
  • NoSQL
Source — Tool mentions in context
- Minimum 5 years of Software development hands on experience - Advanced knowledge in Java on Spring Boot programming language - Hands-on practical experience delivering system design, application development, testing, and operational stability
Preferred qualifications, capabilities, and skills - Advanced knowledge in relational and NoSQL databases - Knowledge of On-prem and/or public cloud

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier listing.

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Live
First seen by us
Oct 23, 2026 · today
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1

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Job description

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

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank's Payments Technology group, 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 firm’s 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
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • 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. 
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

 

Required qualifications, capabilities, and skills

  • Bachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines
  • Minimum 5 years of Software development hands on experience
  • Advanced knowledge in Java on Spring Boot programming language
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficient in all aspects of the Software Development Life Cycle, software engineering principles, design patterns, and best practices
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and proficient in automation and continuous delivery methods
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems
  • Proven record of providing end-user support with excellent problem-solving abilities
  • 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

 

Preferred qualifications, capabilities, and skills

  • Advanced knowledge in relational and NoSQL databases
  • Knowledge of On-prem and/or public cloud 
Source details

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Singapore

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