Software Engineer III-Java Full Stack

JPMorgan Chase & Co.; Mumbai; On-site; INR 2,200,000 - 3,500,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Software Engineer III to join the Commercial & Investment Bank Payments Technology team. You will design and deliver reliable, secure, scalable software within an agile team, contributing to market-leading technology products.

Responsibilities include building production-grade Java applications, leveraging AWS EKS/ECS and Terraform, and employing AI-assisted development tools with proper validation and security practices.

Qualifications

• Formal training or certification in software engineering (3+ years applied experience).
• Experience in system design, application development, testing, and operational stability.
• Hands-on Java enterprise development in a large corporate environment.

Responsibilities

• Execute design, development, and troubleshooting of software solutions.
• Create secure, high-quality production code and maintain algorithms.
• Leverage AI-assisted development tools with peer review, tests, and secure coding practices.
• Apply SDLC tools and automation to improve value of software delivery.
• Produce architecture/design artifacts and ensure design constraints are met.
• Analyze data to derive insights for improving software and systems.

Skills

Full-stack Java

Java 17+

Agile SDLC

Cloud-native AWS

AI-assisted development

Responsible AI use

Education

Formal training or certification in software engineering

Tools

AWS EKS/ECS

Terraform

Oracle

PostgreSQL

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
• Full-stack Java (enterprise): Enterprise application development experience, including building, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.
• Java version depth: At least 2 years of hands-on experience with Java 17+.
• Agile SDLC delivery: Strong experience delivering through the SDLC using Agile methodologies.
• Cloud-native AWS delivery: Microservices development and containerization with deployment on AWS EKS and/or ECS (to EC2), plus Terraform scripting and production AWS deployments; experience with an RDBMS (preferably Oracle or PostgreSQL)).
• 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.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Experience in REACTIVE Java programming, React JS, and Angular frameworks is an added advantage