JPMorgan Chase & Co.

Software Engineer II - Java - Springboot, React, RDBMS, Kubernetes

JPMorgan Chase & Co. Mumbai, Maharashtra, India

Financial Services · 10,001+ employees

6 h ago Closes in 1d
react Mid (2-5 yrs) Full-time India
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About the role

Design, develop, troubleshoot, and maintain secure, high-quality software components for enterprise technology products, considering upstream and downstream systems. Contribute to an agile engineering team by using development tools and authorized AI-assisted capabilities, validating outputs, and supporting stable, scalable applications.

What they look for

Java Spring Boot React Relational Databases Kubernetes Software Development Life Cycle Agile Methodologies Microservices AWS Terraform CI/CD Application Resiliency Secure Coding AI-Assisted Software Development Technical Troubleshooting

Requirements

Requires formal software engineering training or certification and at least two years of applied experience, including hands-on Java, Spring Boot, React, RDBMS, and Kubernetes experience. Candidates should have experience across the software development life cycle, enterprise coding and database querying, and responsible use and validation of AI-assisted development tools.

Full description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank - Global Banking Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Executes standard software solution, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • 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
  • Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
  • Hands-on practical experience in Java, Springboot, React, RDBMS, Kubernetes
  • 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, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Full stack Java developer experience in enterprise application development
  • Strong experience in SDLC delivery in Agile methodologies
  • At least two years experience in Java 17+
  • Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
  • Experience writing Terraform scripts and deploying in AWS production environment
  • Experience in at least one relational database management system (preferably Oracle or PostgreSQL)

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