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Software Engineer II- Java

up to ₹2200k/year Bengaluru, Karnataka, India Full-time
Software Developer in TestJava DeveloperPython DeveloperGo DeveloperPlatform EngineerFull Stack Go DeveloperFull Stack Java DeveloperFull Stack Python Developer

hackajob is partnering with JPMorganChase to fill this position. Create a free profile and Archer will check you against this role and every other live role, showing you exactly where you match.

JOB 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 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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