Senior DevOps Engineer: AWS & GCP Multi-Cloud & Automation

Square One Resources Limited; England; On-site; GBP 61,000 - 101,000; Full time

Job summary

Square One Resources Limited seeks an experienced DevOps Engineer to design and implement multi-cloud logging, monitoring and inventory solutions across AWS and GCP. The role emphasizes automation, IaC and modern DevOps practices within a fast-paced environment.

You will work hands-on on the Atlas 2.0 platform, leveraging Python, Terraform, Kubernetes and AI-assisted tooling to accelerate development, improve reliability and operational visibility across the cloud estate.

Qualifications

• Hands-on experience with AWS and GCP for cloud logging, monitoring and inventory.
• Proficiency in Python and Terraform for automation and IaC.
• Experience with Kubernetes and containerisation; familiar with CI/CD tooling.
• Familiar with AI-assisted development tools such as GitHub Copilot and Claude Code.

Responsibilities

• Design, implement and maintain logging, monitoring and inventory management solutions across AWS and GCP environments.
• Develop automation scripts and IaC using Python and Terraform.
• Contribute to Atlas 2.0 platform, focusing on GCP logging and inventory functionality.
• Utilise AI-assisted coding tools to enhance productivity and code quality.
• Troubleshoot cloud infrastructure and applications using shell scripting and CLI tools.
• Drive automation to reduce manual intervention and improve reliability.
• Collaborate with cross-functional teams to integrate logging and inventory capabilities across the cloud platform.
• Ensure solutions meet security, compliance and operational best practices.

Skills

GCP

AWS

Python

Terraform

Automation

Git

AI tools

Shell scripting

Kubernetes

Tools

Git

GitHub Copilot

Claude Code

Job description

Square One Resources Limited seeks an experienced DevOps Engineer to design and implement multi-cloud logging, monitoring and inventory solutions across AWS and GCP. The role emphasizes automation, IaC and modern DevOps practices within a fast-paced environment.

You will work hands-on on the Atlas 2.0 platform, leveraging Python, Terraform, Kubernetes and AI-assisted tooling to accelerate development, improve reliability and operational visibility across the cloud estate.