Site Reliability Engineer GCP Azure Cloud Hybrid

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