Software Engineer III - Fullstack Java React

JPMorganChase; Hyderabad; On-site; INR 1,800,000 - 2,900,000; Full time

Job summary

JPMorgan Chase in Hyderabad invites experienced software engineers to join a fast-paced team. You will design, develop, and troubleshoot secure production code, leveraging Java, Spring Boot, React/React Native, and AWS services; 3+ years of hands-on experience in enterprise development is expected.

You will work with AI-assisted coding tools validated by peer review and testing; contribute to architecture, DevOps, and security practices, and help improve data-driven applications across the SDLC.

Qualifications

• Formal training or certification on software engineering concepts with 3+ years hands-on experience in system design, development, testing, and operations.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to think beyond routine approaches to build solutions or breakdown technical problems; creates secure, high-quality production code and maintains algorithms that run with systems.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity; validates outputs through peer review, testing, and secure coding standards.
• Applies knowledge of SDLC tools, including AI-assisted development and automation, to improve value from automation.
• Produces architecture and design artifacts for complex applications; gathers, analyzes, and visualizes data for continuous improvement of software.
• Proactively identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture.

Skills

Java

Spring Boot

React/React Native

AWS

Kafka

Terraform

IaC

EaC

CI/CD

Agile

Security

Application Resiliency

CloudWatch

Tools

AI-assisted development tools

Job description

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 problemsCreates 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 developmentGathers, 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 experienceHands-on practical experience in system design, application development, testing, and operational stability


• Hands on Java, Spring Boot, React/React Native, AWS (ECS, S3,SNS,SQS,Cloud watch), Kafka, IaC/Terraform, EaC


• 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

Requirements: