Software Engineer III - Java Fullstack

JP Morgan Chase; Mumbai; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

JPMorganChase in Mumbai invites a Software Engineer III to join an agile team to design and deliver secure, scalable technology products for the Commercial & Investment Bank. You will work across multiple tech areas and contribute to critical solutions supporting the firm's objectives.

Responsibilities include implementing secure production code, applying AI-assisted development tools, and building robust architectures; experience in CI/CD, Docker, Kubernetes, and data-driven improvement will

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.

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.

Skills

Software engineering

Agile development

CI/CD pipelines

Docker

Kubernetes

Secure coding

AI-assisted development

Data visualization

Education

Formal software engineering training or certification

Tools

Docker

Kubernetes

SQL/Databases

AI-assisted development tools

Job description

• Business Unit Commercial & Investment Bank
• Posting Date 11/04/2026, 09:48 AM
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Apply Before 11/05/2026, 05:00 AM
• Job Schedule Full time

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 Commercial & Investment Bank, 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, 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. Experience in deploying applications using CI/CD pipelines, docker containers & Kubernetes to Cloud platforms
• Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiarity with design patterns and anti-patterns, preferable. Experience with in-memory caching technologies such as Hazelcast, Redis and knowledge of performance engineering, tuning and building technology products for scale would be a plus.