Software Engineer III-Java React

JPMorganChase; Mumbai; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

JPMorgan Chase Mumbai seeks an experienced Software Engineer III to join the Commercial & Investment Bank Payments Technology team. You will design and deliver secure, scalable technology products within an agile team, contributing to architecture and data-driven improvements.

Ideal candidates bring 3+ years of software engineering experience, proficiency with modern languages, and familiarity with AI-assisted development tools.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience in system design, development, testing, and stability.
• Experience coding in modern languages and database querying languages.
• Experience with enterprise AI-assisted development tools and evaluating AI outputs.

Responsibilities

• Executes software solutions and analyzes complex problems beyond routine approaches.
• Produces secure, high-quality production code and maintains critical algorithms.
• Uses enterprise AI coding assist tools to improve quality and speed with peer review.

Skills

Software engineering

System design

CI/CD

Agile methodologies

Education

Formal training or certification in software engineering

Tools

AI coding tools

SQL / database querying

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