Principal Software Engineer: Cloud SaaS Platform

Jobs Paloaltonetworks; United Kingdom; On-site; GBP 120,000 - 190,000; Full time

Job summary

Palo Alto Networks is seeking a highly experienced Principal Software Engineer to join our team in a role focused on building secure, scalable backend systems. You will own features end-to-end across Python, Go, and C++, within an AWS-native SaaS environment, collaborating with cross-disciplinary teams to deliver impactful solutions.

You will work on cutting-edge technology in a fast-paced cloud-native setting, applying AI-assisted development tools to accelerate design, implementation, and

Qualifications

• 10+ years of backend software engineering experience.
• Hands-on experience shipping production-grade SaaS or cloud-native services (AWS preferred).
• Proactive learner with ability to expand beyond the current tech stack.
• Experience with Python, Go, C++, and TypeScript (React).
• Familiarity with AI-assisted development tools to accelerate design and reviews.
• Bachelor’s Degree in Computer Science or Engineering related field.

Responsibilities

• Develop secure, scalable backend components across a wide tech stack on AWS-native SaaS.
• Collaborate with Backend, Frontend, QA, DevOps, Security Engineers, and Product Managers to deliver solutions.
• Own and deliver new features end-to-end across the stack from design to production.

Skills

Backend software engineering

Team collaboration

AI-assisted development tools

Education

Bachelor's Degree in CS or related field

Tools

Python

Go

C++

TypeScript (React)

Docker

Kubernetes/ECS

Job description

Palo Alto Networks is seeking a highly experienced Principal Software Engineer to join our team in a role focused on building secure, scalable backend systems. You will own features end-to-end across Python, Go, and C++, within an AWS-native SaaS environment, collaborating with cross-disciplinary teams to deliver impactful solutions.

You will work on cutting-edge technology in a fast-paced cloud-native setting, applying AI-assisted development tools to accelerate design, implementation, and