At a Glance
- Tasks: Design and support secure, scalable GCP environments for enterprise AI services.
- Company: Join a forward-thinking company at the forefront of cloud technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with exposure to cutting-edge technologies.
- Why this job: Be a key player in shaping the future of AI infrastructure.
- Qualifications: Hands-on GCP experience and knowledge of cloud infrastructure management.
The predicted salary is between 60000 - 75000 £ per year.
We're looking for a hands‑on Cloud Infrastructure Engineer with strong hands‑on
Google Cloud Platform (GCP) experience to help build and support the cloud environments that underpin enterprise AI services.
This is an infrastructure‑first role, focused on designing secure, scalable GCP environments, with some Azure exposure and experience supporting AI platforms or services.
Key Requirements
- Strong hands‑on
Google Cloud Platform (GCP) experience.
- Experience building and managing enterprise cloud infrastructure.
- Good knowledge of
GKE, Big Query, IAM and core GCP services.
- Terraform, Kubernetes and Infrastructure-as-Code.
- Azure experience within a multi‑cloud environment.
- Exposure to AI platforms or services (e. g. Vertex AI, Gemini, Azure Open AI or similar).
- Comfortable working with senior technical and business stakeholders.
This is an excellent opportunity to play a key role in building the cloud foundations for a growing AI capability within a modern enterprise environment.
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GCP Infrastructure Engineer employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
