Senior Full-Stack Python Engineer for Cloud Modernization

Allscreens Nationwide Ltd

Greater London

On-site

GBP 70,000 - 110,000

Full time

7 days ago
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Job summary

Allscreens Nationwide Ltd is seeking a Full Stack Python Engineer to join a business-critical cloud transformation programme. You will work on a large-scale Python estate, refactoring legacy code, breaking down monolithic applications into modular components, and migrating solutions from on‑prem environments into AWS.

The role is hands-on and enterprise-focused, requiring expert Python, strong AWS and Kubernetes experience, and solid SQL/data warehousing skills.

Qualifications

  • 5+ years' commercial experience as a Python Engineer, Python Developer, Software Engineer or Full Stack Engineer.
  • Expert-level Python development skills with strong Object-Oriented Programming (OOP) experience.
  • Proven experience developing, maintaining and modernising large enterprise applications, including legacy code refactoring.
  • Strong experience with AWS, cloud migration projects, and modern software engineering practices.
  • Strong SQL skills, with experience working on data-intensive applications and data warehousing environments.
  • Experience with Kubernetes/EKS and cloud-native technologies.
  • Financial Services, Capital Markets or Risk systems experience.

Skills

5+ yrs Python exp
Python development
Object-oriented programming
Legacy code refactoring
AWS cloud
Kubernetes/EKS
SQL / data warehousing
Financial services / capital markets
Cloud migration experience
Enterprise-scale systems
Data-intensive applications

Job description

Allscreens Nationwide Ltd is seeking a Full Stack Python Engineer to join a business-critical cloud transformation programme. You will work on a large-scale Python estate, refactoring legacy code, breaking down monolithic applications into modular components, and migrating solutions from on‑prem environments into AWS.

The role is hands-on and enterprise-focused, requiring expert Python, strong AWS and Kubernetes experience, and solid SQL/data warehousing skills.

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