Software Engineer III-Java React

JP Morgan Chase; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorgan Chase in Mumbai is seeking a Software Engineer III to join the Payments Technology team. You will design, build, and deliver reliable, secure, and scalable software in an agile environment, contributing to market-leading tech products.

Expect hands-on development, code reviews, and responsible AI practices while collaborating across teams to improve architecture, testing, and deployment processes.

Qualifications

• 3+ years applied software engineering experience.
• Experience in system design and deployment.
• Experience with modern languages and database querying.
• Experience with AI-assisted development tools.
• Understanding of responsible AI in engineering workflows.
• Knowledge of Software Development Life Cycle.
• Understanding of CI/CD, resiliency and security in Agile contexts.

Responsibilities

• Executes software solutions, design, development, and troubleshooting beyond routine.
• Creates secure, high-quality production code and maintains algorithms.
• Leverages enterprise-authorized AI coding assist tools to improve quality and speed.
• Applies SDLC toolchain knowledge to improve automation.
• Produces architecture and design artifacts for complex applications.
• Gathers and analyzes data to visualize and report for continuous improvement.
• Identifies hidden problems in data to improve coding hygiene and architecture.

Skills

Software engineering

System design

Application development

AI-assisted development tools

Secure coding

CI/CD & Agile

Data analysis & visualization

Education

Formal training in software engineering

Tools

AI coding 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 JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.

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


• 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