We’re looking for a Senior Cloud Engineer to join our Cloud Transformation team in deploying a managed GenAI SaaS platform. You’ll work on a modern, scalable stack with a strong emphasis on multi-cloud architecture, security guardrails, and automated environment orchestration.
Project Overview
We are deploying a hybrid GenAI platform where the Azure-based control plane manages isolated data planes residing within client tenants. Your mission is to build the GCP-first landing zones and connectivity patterns that enable this cross-cloud management model for regulated industries.
About the Role
As a Senior Engineer, you will bridge the gap between an existing Azure control plane and new client environments in GCP. Working alongside a Solution Architect, you will ensure secure-by-default deployments that strictly separate management actions from sensitive client data.
Tech Stack
Core Stack: GCP (Resource Hierarchy, IAM, VPC Service Controls), GKE, Azure (Management Groups, Azure Policy, Lighthouse), Terraform, Flux, GitOps.
Other Technologies:
- Backend/Infrastructure: AWS (Organizations, Control Tower, SCPs).
- Observability: Grafana, Telegraf, Prometheus.
- Security: Cloud KMS, Azure Key Vault, CMEK/CMK.
- AI/Data: Vector stores, Managed Inference Endpoints (GenAI/RAG).
- Databases: Object Storage, Cache.
What You’ll Do
- Engineer GCP Landing Zones: Stand up secure, policy-enforced client-plane environments and connect them to the Azure control plane.
- Implement Multi-Cloud Governance: Author organization policies and guardrails to enable management while prohibiting unauthorized data access.
- Automate Infrastructure: Own the end-to-end delivery of client resources using Terraform and Flux-driven GitOps pipelines.
- Architect Cross-Cloud Telemetry: Deploy metadata-only logging using Grafana and Telegraf to ensure observability without data exfiltration.
- Define Integration Standards: Establish networking and security prerequisites for client onboarding and support incident response across environments.
- Scale Multi-Tenant Patterns: Refine repeatable deployment models for GKE and managed AI services across diverse client tenants.
Requirements
- Expert-level GCP experience (Org Policy Service, VPC Service Controls, and Resource Hierarchy).
- Proven track record in multi-tenant/multi-client cloud deployments for regulated industries.
- Strong proficiency in Terraform and GitOps (Flux or ArgoCD) for production environments.
- Solid working knowledge of Azure (Lighthouse and Policy) to facilitate cross-cloud integration.
- Deep understanding of data residency, sovereignty, and security encryption (CMEK/CMK).
What do we offer you?
- Attractive salary
- Large freedom and real influence
- No unhealthy competition, team approach to meeting challenges
- Remote-first, flexible working culture
- Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About Us
We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.
Pay: £45,000.00-£102,000.00 per year
Benefits:
Experience:
- Google Cloud Platform: 5 years (required)
Work Location: Remote
