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Software Engineer II - Cash Asset Management

JPMorgan Chase
Bournemouth, GBR
Full-time
Mid
Onsite
Discovered 2 days ago

Full Job Posting

Job responsibilities

  • Execute standard software solutions through design, development, and technical troubleshooting across multiple system components
  • Write secure, high-quality code using at least one modern programming language with limited guidance
  • Design, develop, and troubleshoot with consideration of upstream and downstream systems and their technical implications
  • 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
  • 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 skills to break down and resolve problems of basic complexity
  • Gather, analyze, and draw conclusions from large, diverse data sets to support decision-making in service of secure, stable application development
  • Learn and apply system processes, methodologies, and best practices for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and proficient applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
  • Experience across the full Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, application resiliency, and security practices
  • 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

  • Familiarity with cloud-based development environments and distributed systems
  • Exposure to cash management, payments, or financial services technology domains
  • Experience contributing to code reviews and collaborative development practices within an agile team
  • Familiarity with monitoring, observability, or performance tuning tools in a production environment

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