Job Description
An exciting opportunity has opened for a Platform Engineer to take on a hands-on role in data centre environments, focusing on automation and infrastructure management. This role is ideal for someone with extensive experience working in colocation data centres, combining practical hardware deployment with advanced automation techniques to enhance operational efficiency.
The successful candidate will be responsible for provisioning, maintaining, and automating large-scale infrastructure across multiple locations. This includes racking and cabling servers, troubleshooting network and hardware issues, and implementing automation frameworks to reduce manual processes. The role requires a strong technical background and the ability to work in high-performance environments.
Security and compliance are equally critical, with responsibilities including system patching, vulnerability mitigation, and ensuring all infrastructure meets industry standards. The ability to develop and maintain automation scripts in Python and Bash will be highly valued, as will experience deploying and managing DevOps tooling such as GitLab, Artifactory, Prometheus, and Grafana.
This is a highly technical role that offers the opportunity to work on global infrastructure projects, tackling complex challenges in a fast-moving environment. If you have a passion for automation and hands-on infrastructure management, this role will provide the perfect platform to advance your career.
A deep understanding of Linux systems, infrastructure automation, and configuration management is essential.
Key Requirements:
* Data Centre Expertise - 4+ years working in colocation environments, including hardware management, racking, and cabling.
* Linux Administration - Strong knowledge of RHEL and best practices for infrastructure management.
* Infrastructure Automation - Experience with Terraform, Packer, and Ansible to automate provisioning and configuration.
* Networking - Strong troubleshooting skills and knowledge of structured cabling for power, network, and storage.
* Scripting & DevOps Tools - Proficiency in Python and Bash, plus experience with GitLab/GitHub, Artifactory, Prometheus, and Grafana.
* Storage Knowledge - Understanding of block and object storage concepts.
Desirable Qualifications:
* Experience working in hybrid cloud environments (AWS).
* Hands-on knowledge of Kubernetes, Helm, ArgoCD.
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