Senior Python/AI Engineer for Scalable FinTech Systems

Fairygodboss

Glasgow

On-site

GBP 70,000 - 110,000

Full time

9 days ago

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Job summary

J.P. Morgan is seeking an experienced Software Engineer to join the Global Technology team in Glasgow. You will be part of an agile squad designing, building, and delivering trusted, scalable technology products in a secure environment.

You will develop Python-based services, contribute to architecture artifacts, work with large data, and help improve code quality, resiliency, and automation while collaborating across teams to implement cloud, security, and AI-focused solutions.

Qualifications

  • Hands-on experience in system design and application development.
  • Proficient in Python coding.
  • Experience in large corporate environments with modern languages and database querying languages.
  • Strong understanding of SDLC, AWS, resiliency, and automation.
  • Familiarity with agile methodologies including CI/CD and security.
  • Experience with AI and MongoDB.

Responsibilities

  • Design and develop scalable, resilient systems using Python.
  • Develop, debug, and maintain production code.
  • Contribute to architecture and design artifacts for applications.
  • Gathers, analyzes, and visualizes data from large datasets for continuous improvement.
  • Identify data patterns to improve coding hygiene and system architecture.
  • Contribute to engineering communities and promote inclusion.
  • Collaborate in an agile team to deliver trusted technology products.

Skills

Python programming
CI/CD
Agile methodologies
Troubleshooting
Automation
AI understanding

Tools

MongoDB
AWS

Job description

J.P. Morgan is seeking an experienced Software Engineer to join the Global Technology team in Glasgow. You will be part of an agile squad designing, building, and delivering trusted, scalable technology products in a secure environment.

You will develop Python-based services, contribute to architecture artifacts, work with large data, and help improve code quality, resiliency, and automation while collaborating across teams to implement cloud, security, and AI-focused solutions.

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