JPMorgan Chase & Co.

Software Engineer II - Java

JPMorgan Chase & Co. Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

5 h ago Closes in 3d
java Mid (2-5 yrs) Full-time India
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About the role

The Software Engineer II will design, develop, and troubleshoot software components within an agile team to deliver secure and scalable technology products. They will also leverage AI-assisted coding tools to improve productivity while ensuring code quality through peer reviews and automated testing.

What they look for

Java J2EE Spring Boot Microservices API Gateway Cloud Technologies System Design Application Development Technical Troubleshooting Agile Methodologies CI/CD Database Querying AI-assisted Development Software Development Life Cycle Application Resiliency Security

Requirements

Candidates must have at least 2 years of applied experience in software engineering, including hands-on work with Java, J2EE, and microservices. Proficiency in system design, cloud technologies, and the Software Development Life Cycle is required.

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 Consumer & Community Banking team, 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
  • 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 or more modern programming languages and database querying languages
  • Hands on experience in application design, coding,
  • Experience on Java 8/J2EE distributed application development, RES
  • Understanding of Domain model micro services, Spring Boot, Netflix frameworks, API gateway, CRM Platform.
  • Experience on cloud technologies
  • 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.

Preferred qualifications, capabilities, and skills

  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Good Communication & Interpersonal skills.

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