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Backend Software Engineer III - JAVA, Springboot

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted a month ago

No clicks

**Backend Software Engineer III - Java, Springboot**: Leverage Java and Springboot to design and deliver secure, scalable solutions for JPMorganChase's Asset & Wealth Management. Responsible for software design, development, troubleshooting, and architecture. Collaborate in agile teams, using enterprise AI tools for improved coding. Proficient in React, Kafka, Oracle, Aurora, Airflow, Spark, and cloud environments.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Location: Plano, TX, United States

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 Asset & Wealth Management, 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 3+ years applied experience
  • Advanced in Java programming language
  • Strong technical skills in developing Microservices using JAVA, Spring Boot
  • Experience in building with Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Deploy to both public and private cloud environments
  • 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
     
  • 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

Backend Software Engineer III - JAVA, Springboot

Compensation

Not specified

City: Not specified

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

a month ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Backend Software Engineer III - Java, Springboot**: Leverage Java and Springboot to design and deliver secure, scalable solutions for JPMorganChase's Asset & Wealth Management. Responsible for software design, development, troubleshooting, and architecture. Collaborate in agile teams, using enterprise AI tools for improved coding. Proficient in React, Kafka, Oracle, Aurora, Airflow, Spark, and cloud environments.

Full Job Description

Location: Plano, TX, United States

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 Asset & Wealth Management, 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 3+ years applied experience
  • Advanced in Java programming language
  • Strong technical skills in developing Microservices using JAVA, Spring Boot
  • Experience in building with Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Deploy to both public and private cloud environments
  • 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
     
  • 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