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Software Engineer III (Java/Python/Fullstack/AWS)

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 6 days ago

No clicks

Software Engineer III specializes in Java, Python, and full-stack development with AWS at JPMorganChase. This role requires 3+ years of experience in software engineering, proficiency in Java or Python, and knowledge of the SDLC. Key responsibilities include executing software solutions, maintaining high-quality production code, and leveraging AI-assisted coding tools. Experience with cloud technologies, particularly AWS, and modern front-end technologies is preferred. The role calls for a solid understanding of agile methodologies and CI/CD, with a focus on robust application security and resilience.

Compensation
Not specified USD

Currency: $ (USD)

City
Not specified
Country
United States

Full Job Description

Location: OH, 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 Corporate Technology/ Global Tax 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 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 (Java or Python)
  • 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, AWS is plus. 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Software Engineer III (Java/Python/Fullstack/AWS)

Compensation

Not specified USD

City: Not specified

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

6 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

Software Engineer III specializes in Java, Python, and full-stack development with AWS at JPMorganChase. This role requires 3+ years of experience in software engineering, proficiency in Java or Python, and knowledge of the SDLC. Key responsibilities include executing software solutions, maintaining high-quality production code, and leveraging AI-assisted coding tools. Experience with cloud technologies, particularly AWS, and modern front-end technologies is preferred. The role calls for a solid understanding of agile methodologies and CI/CD, with a focus on robust application security and resilience.

Full Job Description

Location: OH, 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 Corporate Technology/ Global Tax 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 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 (Java or Python)
  • 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, AWS is plus. 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team