A leading Professional Services company is seeking a Site Reliability Engineer on a contract basis to work on a project with a leading financial client.

You will be needed onsite on Glasgow 3 times per week.

Experience Required:

• Strong hands on GCP and Azure experience
• Experience in SRE Dev role within GCP and Azure environments
• Experience working across different OS
• Strong Python & Terraform experience
• Kubernetes & Containerisation 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) 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.