JPMorgan Chase & Co.

Software Engineer II - Java, Springboot, Microservices

JPMorgan Chase & Co. Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

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

You will design, develop, and troubleshoot software components within an agile team to deliver secure and scalable technology products. The role involves leveraging AI-assisted tools to improve code quality and productivity while maintaining high standards of security and stability.

What they look for

Java Springboot Microservices System design Application development Technical troubleshooting Agile Secure coding Database querying AI-assisted development Software development life cycle Cloud technologies Front-end technologies

Requirements

Candidates must have at least 2 years of applied experience in software engineering with proficiency in Java, Springboot, and Microservices. Practical experience in system design, testing, and operational stability within a large corporate environment 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, 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 solutions, design, development, and technical troubleshooting
  • 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.
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • 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 break down 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

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 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
  • Demonstrable ability to code in Java with Microservices & Springboot.
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

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