Site Reliability Engineer Cloud, DevOps GCP Azure Glasgow
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.