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JPMorganChase

Software Engineer II- Java

Posted 2 Hours Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Junior
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Junior
Develop, design, and troubleshoot secure, high-quality code within an agile team. Use SDLC tools (including enterprise AI-assisted tooling), analyze large datasets for problem identification, and apply CI/CD, resiliency, and security practices while learning system processes.
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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 Consumer and Community Banking - Connected Commerce 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 ( NAMR/APAC – India/ LATAM/ Hong Kong) 
    B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) 
    C. Singapore follow local country guidance 
    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. 

  • 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

  • Familiarity with Public Cloud technologies and platforms (e.g. AWS)
  • Experience with event-driven messaging and streaming technologies (e.g., Kafka), both NoSQL and relational databases, and cloud-native API/microservice development.
  • Hands on Experience in Software Development tools and technologies (e.g. Jira, Confluence, IntelliJ IDEA, Maven, Git, Jenkins, Sonar, Artifactory, AI powered code-assistants, etc.)

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