Site Reliability Engineer (SRE) - Cloud Engineer - GCP & Azure

Contract Role: Site Reliability Engineer (SRE) – Cloud Engineer - GCP & Azure
Contract Location: Glasgow
Contract Duration: 6-12 months initially (with potential extension)
Contract Start Date: Immediate
Contract Classification: Inside IR35

Daily Rate breakdown
Traditional Daily Rate: £450
Agreed Contract Rate (ACR): £346.95
Equivalent Annual Salary: £90,206 + £10,887 holiday pay
Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay

** Must have strong GCP and Microsoft Azure Cloud experience **

Overview
We are supporting a leading global financial services organisation on a major cloud transformation programme and are seeking an experienced Site Reliability Engineer (SRE) / Cloud Engineer to join a high-performing engineering team.
The successful candidate will play a key role in enhancing cloud reliability, scalability, automation and operational excellence across enterprise cloud platforms.

Key Responsibilities
• Design, build and maintain highly available cloud infrastructure across multi-cloud environments.
• Drive SRE best practices including observability, resilience, reliability engineering and automation.
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Build and enhance automation tooling using Python.
• Support cloud platform engineering activities across Azure and Google Cloud Platform (GCP).
• Manage and optimise containerised workloads and Kubernetes environments.
• Troubleshoot complex infrastructure and application issues across multiple operating systems.
• Collaborate with development, platform and security teams to improve platform stability and performance.
• Support CI/CD pipelines and cloud-native operational processes.

Essential Skills & Experience
• Strong hands-on experience with Google Cloud Platform (GCP) and Microsoft Azure.
• Proven experience in a Site Reliability Engineering (SRE), Cloud Engineering or DevOps role.
• Strong scripting and automation skills using Python.
• Extensive experience with Terraform and Infrastructure as Code.
• Experience working across multiple operating systems (Linux and Windows environments).
• Strong understanding of Kubernetes and containerisation technologies.
• Experience implementing monitoring, observability and reliability best practices.
• Strong troubleshooting and problem-solving skills.

Desirable
• Experience within large-scale enterprise or financial services environments.
• Exposure to CI/CD tooling and cloud-native engineering practices.
• Knowledge of cloud security and governance controls.


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