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oracle

Software Engineer II - Java / Python

JPMorgan Chase
Glasgow, GBR
Full-time
Mid
Onsite
Discovered 5 days ago
awsjavapython

Full Job Posting

Job Responsibilities

  • Execute standard software solution design, development, and technical troubleshooting
  • Write secure, high-quality code in at least one programming language with limited guidance
  • Leverage 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
  • Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications
  • Apply 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
  • Apply technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learn and apply 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 with applied experience in delivering software solutions
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience developing, debugging, and maintaining code using 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 Software Development Life Cycle
  • Exposure to agile methodologies and practices such as CI/CD, application resiliency, and security

Preferred Qualifications, Capabilities, and Skills

  • Experience developing applications using Java or Python
  • Experience working with AWS or cloud-based services

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