JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 - Glass Liquidity and Cash Management

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science or equivalent is required.
Formal training or certification in software engineering concepts and at least 3 years of applied experience are required.
Hands-on practical experience in system design, application development, testing, and operational stability is required.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages is required.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation is required, along with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows is required, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; the candidate must be able to guide peers on safe and effective use within team practices.
Experience developing microservices using Java 8 or later, Spring Boot, REST, SQL, React JS, and Angular JS is required.
A strong focus on automated testing and good knowledge of test-driven development, behavior-driven development, and unit-testing techniques using frameworks such as JUnit and Mockito are required.
A good understanding of DevOps tools is required, including Git for source control, Maven for build automation, and Jenkins for continuous integration.

Responsibilities

Execute software solutions, including design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to build solutions or break down technical problems.
Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
Use enterprise-authorized AI coding-assist tools to improve code quality, delivery speed, and productivity across complex deliverables, including code generation or refactoring, unit-test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards, and contribute learnings and reusable patterns to improve broader team effectiveness.
Apply knowledge of software development life-cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation.
Produce architecture and design artifacts for complex applications and ensure design constraints are met by software code development.
Gather, analyze, synthesize, and develop visualizations and reports from large, diverse data sets to continuously improve software applications and systems.
Proactively identify hidden problems and patterns in data and use those insights to improve coding hygiene and system architecture.

Desired Qualifications

Familiarity with modern front-end technologies is preferred.
Exposure to messaging systems such as MQ or Kafka is preferred.
Exposure to cloud technologies is preferred, with Kubernetes preferred.

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 Corporate and Investment Banking (CIB) Technology's Glass Liquidity and Cash management (GLCM) 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 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
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

Bachelor's degree in Computer Science or equivalent
Formal training or certification on software engineering concepts and 3+ years applied experience
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.
Experience in developing microservices using Java 8+, Spring Boot, REST, SQL, React JS, Angular JS.
Strong focus on automated testing with good knowledge of TDD, BDD and Unit testing techniques using frameworks like Junit / Mockito.
Good understanding of DevOps tools: source code control software (Git), build automation (Maven), continuous integration (Jenkins)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to messaging systems like MQ/Kafka
Exposure to cloud technologies (Kubernetes preferred)

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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