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JPMorgan Software Engineer III - Python Developer 
United Kingdom, Scotland 
461372024

15.04.2025

Job responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds to team culture of diversity, equity, 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
  • Proficient in coding in Python
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience in developing Python applications for automation and reporting, leveraging libraries such as Pandas, NumPy, and Matplotlib.
  • Proficient in Python programming with experience in dependency management using tools like poetry, pipenv or uv.
  • Strong understanding of version control systems, particularly Git, and experience with collaborative development workflows.

Preferred qualifications, capabilities, and skills

  • Experience with Java and modern web-based application development using Restful APIs.
  • Experience with data science tools and frameworks, such as Jupyter, Scikit-learn, and TensorFlow, to build and deploy data-driven applications.
  • Familiarity with large language model integrations using frameworks like LangChain and LlamaIndex to enhance application capabilities.
  • Exposure to containerization and orchestration technologies, such as Docker and Kubernetes, for deploying scalable Python applications.
  • Understanding of RESTful API design and development to facilitate integration with other systems and services.