Software Engineer III - Java

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

Job summary

JP Morgan Chase in India (Telangana) is hiring a Software Engineer III to join an agile team that designs and delivers secure, scalable fintech solutions. You will contribute to architecture, code, testing, and operations across Java, Spring Boot, microservices, Kafka, and cloud platforms.

You will also integrate enterprise AI-assisted tooling to enhance code quality and delivery speed, participate in peer reviews, and ensure secure coding practices while driving continuous improvement of

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of experience
• Experience in system design, app development, testing and stability
• Hands-on Java, Spring Boot, Microservices, Kafka and Cloud
• Experience with AI-assisted software development tools with evaluation of outputs

Responsibilities

• Executes software solutions, design, development, and troubleshooting
• Creates secure, high-quality production code and maintains algorithms
• Uses enterprise AI coding assist tools to improve quality, speed, and productivity
• Applies SDLC tools and AI-assisted development to improve automation
• Produces architecture/design artifacts for complex applications
• Gathers analyzes and visualizes data for continuous improvement
• Identifies patterns in data to drive coding and architectural improvements
• Supports agile practices including CI/CD, resiliency, and security

Skills

Java

Spring Boot

Microservices

Kafka

Cloud

Agile

AI tooling

Tools

IDE/DevTools

CI/CD

AI-assisted tooling

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 Consumer and Community Banking, 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 5+ years applied experience


• Hands-on practical experience in system design, application development, testing, and operational stability


• Hands on Java, Spring boot, Microservices, Kafka and Cloud


• 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