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Python Software Engineer III

JPMorgan Chase
Glasgow, GBR
Full-time
Mid
Onsite
Discovered 3 days ago
javapython

Full Job Posting

Job responsibilities

  • Interface closely with business stakeholders, quantitative research analysts, and upstream and downstream technology teams across the firm to deliver well-integrated, high-quality solutions
  • Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex technical problems
  • Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout the software development lifecycle
  • Proactively identify hidden problems and patterns in data, using those insights to drive improvements to coding hygiene and system architecture
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies
  • 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
  • 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
  • Build AI-enhanced user features — including search, summarization, and explanation capabilities — with a human-in-the-loop approach to ensure correctness, security, and compliance
  • Foster a team culture of diversity, opportunity, inclusion, and respect

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
  • Professional development experience with Python, Java, or another object-oriented programming language
  • Solid understanding of agile methodologies, including continuous integration and delivery, application resiliency, and security practices
  • Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, or machine learning
  • Overall knowledge of the Software Development Life Cycle
  • Experience communicating effectively with both business-facing customers and technical teams
  • 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 modern front-end technologies and UI development patterns
  • Familiarity with large language model application patterns and prompt/context engineering techniques
  • Experience working in financial services or risk technology environments
  • Exposure to market risk concepts such as Value at Risk, stress testing, or scenario analysis

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