Senior Network Automation Engineer — AI-Driven Provisioning

US Tech Solutions; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

US Tech Solutions in London is seeking an experienced Network Production Engineer to design, provision, deploy, and scale a global network infrastructure. You will build production-grade software, AI-powered automation, and scalable systems to support millions of users.

You will work hybrid, 1-2 days onsite, collaborating with skilled engineers to qualify new platforms and drive production rollouts while leveraging AI to enhance engineering productivity.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Responsibilities

• Design and develop automation, tools, and workflows for network provisioning, deployment, and platform integration.
• Build AI-powered end-to-end test automation frameworks for validating switches, routers, optical devices, and network software.
• Integrate automated testing into CI/CD pipelines for continuous qualification and deployment.
• Develop automation for platform provisioning, configuration management, and deployment workflows.
• Investigate and troubleshoot complex issues across network infrastructure, hardware, software, and automation systems.
• Collaborate with cross-functional engineering teams to qualify new platforms and support production rollouts.
• Leverage AI tools to enhance automation, software development, and engineering productivity.
• Support the deployment, maintenance, and scaling of large-scale network infrastructure.

Skills

Python

Go

Java

C++

Linux

Networking fundamentals

CI/CD

DevOps

Education

Bachelor's degree in CS/CE or equivalent

Tools

Ansible

Puppet

Chef

Django

SQL

Job description

US Tech Solutions in London is seeking an experienced Network Production Engineer to design, provision, deploy, and scale a global network infrastructure. You will build production-grade software, AI-powered automation, and scalable systems to support millions of users.

You will work hybrid, 1-2 days onsite, collaborating with skilled engineers to qualify new platforms and drive production rollouts while leveraging AI to enhance engineering productivity.