Software Engineer III - Java Fullstack

JPMorganChase

Bengaluru

On-site

INR 1,500,000 - 2,500,000

Full time

2 days ago
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Job summary

JPMorganChase in Bengaluru is seeking a Software Engineer III to join the Employee Platforms team. You will design and deliver trusted market-leading technology products in a secure, scalable way, working as a seasoned member of an agile team.

Responsibilities include building production code, solving complex problems, leveraging AI-assisted development tools, and producing architecture artifacts. You will contribute to data visualizations and drive improvements in code quality, security, and

Qualifications

  • Formal training or certification on software engineering concepts and 3+ years applied experience in Java, Springboot and React.
  • 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 modern programming languages and database querying languages.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate, validate, and refine AI outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows with data sensitivity considerations and secure handling.
  • Strong experience as Java Fullstack, React JS and knowledge of the Software Development Life Cycle.

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, while validating outputs through peer review, automated testing, and secure coding standards.
  • Applies knowledge of tools within the SDLC 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 ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large 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.

Skills

Java
Spring Boot
React
Fullstack
CI/CD
Secure coding
AI-assisted tools
Data visualization
Security
Agile methodologies

Tools

Kafka
AWS
AI-assisted development tools

Job description

Job Description:


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 Employee Platforms, 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


  • Formal training or certification on software engineering concepts and 3+ years applied experience in Java, Springboot and React

  • 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.

  • Strong experience as Java Fullstack, React JS

  • 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


  • Knowledge of Kafka and event driven architecture

  • Exposure to cloud technologies (AWS preferred)


Requirements:

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