Software Engineer III React UI Developer

JPMorganChase; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorganChase in Hyderabad, India, seeks a Software Engineer III within the Consumer and Community Banking/Insurance Tech team to design and deliver secure, scalable technology products.

You will be part of an agile team, building and refining production code, leveraging AI-assisted development tools, and contributing to data-driven improvements across complex systems.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience with React, AWS, UI and modern programming languages.
• Familiarity with enterprise AI-assisted development tools and secure coding practices.
• Understanding of Agile, CI/CD, and application resilience.

Responsibilities

• Executes software solutions and designs; solves complex problems beyond routine.
• Produces secure, high-quality production code and maintains algorithms.
• Uses enterprise AI coding assist tools to improve quality, speed, and productivity with peer review and testing.
• Gathers and visualizes data from large datasets to improve software applications.
• Identifies patterns in data to drive architecture improvements.

Skills

React

AWS

UI

CI/CD

Agile

Education

Software engineering training/certification

Tools

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 Consumer and Community Banking/Insurance Tech 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

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, react, UI, AWS
• 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

• React, Familiarity with modern front-end technologies,
• Knowledge on integration with CI/CD pipelines for automated build, test, and deployment
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Exposure to cloud technologies, AWS is a plus