Software Engineer III

JP Morgan Chase; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JP Morgan Chase is seeking a Software Engineer III for its Consumer & Community Banking SDI group in Bengaluru. The role focuses on designing and delivering secure, scalable technology products in an agile setting, with emphasis on high-quality production code and architecture for complex applications.

You will work across multiple domains, driving improvements in code hygiene, system design, and data-driven insights while using enterprise AI-assisted development tools to enhance delivery speed

Qualifications

• 8+ years of experience with Java/J2EE, Spring Boot, and Microservices.
• Hands-on AWS experience (EKS, EC2, IAM, CloudWatch, ElastiCache).
• Strong understanding of SDLC and agile methodologies; secure coding practices.

Responsibilities

• Develop and deliver secure, scalable software within an agile team.
• Create production-ready code and maintain robust design artifacts.
• Leverage AI-assisted tools to improve code quality, speed, and reliability; ensure thorough peer review and testing.

Skills

Java/J2EE

Spring Boot

Microservices

CI/CD

Security

Agile methodologies

Tools

AWS (EKS, EC2, IAM, CloudWatch, ElastiCache)

AI-assisted development tools

Job description

• Business Unit Consumer & Community Banking
• Posting Date 10/27/2026, 10:26 AM
• Apply Before 10/30/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Day

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 Consumer & Community Banking – SDI organization, you serve as a seasoned member of an agile team, designing and delivering trusted, market‑leading technology products in a secure, stable, and scalable manner. You are responsible for implementing critical technology solutions across multiple technical domains and business functions, directly supporting the firm’s strategic and operational 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

• 8+ years applied experience in Java/J2EE,, Spring boot, Microservices
• Must have AWS experience in EKS, EC2, IAM, Cloudwatch, Elasticache etc.
• 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 java 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 - React