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JPMorgan Chase & Co.

Software Engineer III - Java & ReactJS

JPMorgan Chase & Co. · Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

4 h ago Closes today
Mid (2-5 yrs) Full-time India
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About the role

Design and deliver secure, scalable full-stack technology products using React and Spring Boot within an agile team. Lead the development of backend services and frontend features while mentoring peers and improving CI/CD pipelines.

What they look for

Java Spring Boot ReactJS REST APIs SQL PostgreSQL Oracle MySQL JPA Hibernate JUnit Mockito Jest React Testing Library CI/CD AI-assisted development

Requirements

Requires 3+ years of experience in software engineering with strong expertise in Java, Spring Boot, and ReactJS. Candidates must be proficient in SQL databases, automated testing, and the use of AI-assisted coding tools.

Full 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 Asset & Wealth Management, 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 break down technical problems
  • Leads design and development of full-stack features (React UI → Spring Boot APIs → data layer).
  • Builds scalable, secure backend services using Spring Boot (REST APIs, integrations, performance tuning).
  • Establishes and enforce best practices for code quality, testing, security, and observability.
  • Drives CI/CD improvements and support deployment activities; troubleshoot production issues and reduce operational toil.
  • Deploys and operate applications in cloud environments, including monitoring, logging, and incident response.
  • Collaborates with product, platform and DevOps teams; provide technical leadership and mentoring.
  • 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.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Strong backend expertise in Java and Spring Boot (Spring MVC, Spring Data JPA, Spring Security).
  • Hands-on frontend expertise in ReactJS
  • Strong understanding of REST, HTTP, JSON, API versioning, error handling, and integration patterns.
  • Strong experience with SQL databases (PostgreSQL/Oracle/MySQL) and ORM (JPA/Hibernate).
  • Testing proficiency: • Backend: JUnit, Mockito, integration testing
  • Frontend: Jest, React Testing Library
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • 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

  • Microservices and distributed systems patterns (resiliency, tracing, config, service discovery).
  • Messaging/streaming (Kafka/RabbitMQ).
  • Observability stack experience (Splunk, Grafana, Dynatrace).