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Software Engineer III - Java 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 - Java AWS** Drive secure, scalable tech solutions as a senior Software Engineer III. Key responsibilities include designing and developing Java/Spring Boot microservices, leveraging AWS and Kubernetes. Utilize AI-assisted coding tools for improved productivity and quality. Proficient in system design, application development, and debugging. Proven experience in corporate software development. Required: 3+ years experience, Java, microservices, AWS, Kubernetes, AI coding assistants.

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Full Job Description

Location: Bengaluru, Karnataka, India

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 Consumer and Community Banking, 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

  • Experience in Java, Spring boot, microservices, AWS and Kubernetes

  • Working knowledge of agentic AI coding assistants (Copilot, Claude Code), including prompt workflows, refactoring, test generation, and code review support.

  • 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

    Software Engineer III - Java AWS

    Compensation

    Not specified

    City: Bengaluru

    Country: India

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    6 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Software Engineer III - Java AWS** Drive secure, scalable tech solutions as a senior Software Engineer III. Key responsibilities include designing and developing Java/Spring Boot microservices, leveraging AWS and Kubernetes. Utilize AI-assisted coding tools for improved productivity and quality. Proficient in system design, application development, and debugging. Proven experience in corporate software development. Required: 3+ years experience, Java, microservices, AWS, Kubernetes, AI coding assistants.

    Full Job Description

    Location: Bengaluru, Karnataka, India

    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 Consumer and Community Banking, 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

  • Experience in Java, Spring boot, microservices, AWS and Kubernetes

  • Working knowledge of agentic AI coding assistants (Copilot, Claude Code), including prompt workflows, refactoring, test generation, and code review support.

  • 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