Strategic Cloud Engineer – GCP Platform, FinOps
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Job Description
Strategic Cloud Engineer optimising GCP costs and reliability for a regulated, multi-product SaaS platform. Operating Kubernetes, Terraform, observability, CI/CD, and AI-assisted infrastructure workflows.
Responsibilities:
- Optimise GCP cloud spend through rightsizing, autoscaling, workload efficiency, cost allocation, and usage analysis
- Build cost-observability dashboards using Grafana, BigQuery, and billing exports
- Partner with engineering teams to architect cost-efficient solutions
- Operate GKE and multi-cluster Kubernetes platforms, including cluster lifecycle, upgrades, node pools, scaling, ingress, domain routing, secrets, environment variables, and service deployments
- Manage multi-tenant SaaS customer lifecycle infrastructure events
- Own and evolve Terraform provisioning
- Support and optimise GitLab CI/CD rollout pipelines
- Automate customer provisioning and environment configuration
- Operate platform services and observability tooling including VictoriaMetrics, StatsD, Grafana, Google Cloud Monitoring, Elasticsearch/OpenSearch, and Apache Airflow
- Troubleshoot distributed systems and production incidents
- Provision and decommission instances, map domains, and support infrastructure across providers including Hetzner
- Participate in an on-call rotation
- Use AI-assisted tools and agent-based development workflows to accelerate infrastructure development, automate runbooks, and improve CI/CD and distributed-systems debugging
Requirements:
- Strong expertise in Google Cloud Platform, including GKE, Compute Engine, IAM, and networking
- Proven production experience with Terraform
- 3+ years managing production Kubernetes, including cluster lifecycle and upgrades, ingress/reverse-proxy configuration, secrets, and configuration management
- Ability to optimise production cloud spend through cost allocation, usage-pattern analysis, rightsizing, and scaling strategies
- GitLab CI/CD or GitHub Actions experience, including pipeline debugging and release workflow support
- Experience with Grafana, VictoriaMetrics, StatsD, Google Cloud Monitoring, Elasticsearch/OpenSearch, and Apache Airflow, Airbyte, or n8n
- Scripting experience in Python, Bash, or similar
- Working familiarity with AI-native IDEs such as Cursor and agent-based development environments
- Ability to use AI to generate, review, and optimise infrastructure code
- Multi-cloud exposure to AWS/Azure is nice to have
- Experience in regulated environments such as SOC 2 or ISO is nice to have
- Exposure to European infrastructure providers such as Hetzner is nice to have
- Experience building internal developer platforms is nice to have
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