Strategic Cloud Engineer – GCP Platform, FinOps

Ontrac Solutions

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.

Posted 8/9/2026contractRemote • 🇲🇬 MadagascarMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in Google Cloud Platform, including GKE and Terraform, with a focus on optimizing cloud spend and managing production Kubernetes environments. Proficient in building observability dashboards and automating infrastructure processes using various tools and scripting languages.

Highest-signal resume keywords

Google Cloud Platform ExpertiseTerraform ProvisioningKubernetes ManagementGitLab CI/CD ExperienceGrafana Dashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Google Kubernetes EngineTerraformPython ScriptingBash ScriptingCost AllocationUsage AnalysisCluster Lifecycle ManagementIngress ConfigurationConfiguration ManagementProduction Incident Troubleshooting

Tools & Technologies

GrafanaBigQueryGoogle Cloud MonitoringVictoriaMetricsStatsDElasticsearchApache AirflowAI-native IDEsGitLab CI/CDMulti-cloud Infrastructure

Industry Keywords

SaaSRegulated EnvironmentsSOC 2ISOEuropean Infrastructure Providers

Tech Stack

Tools & technologies

AirflowApacheAWSAzureBigQueryCloudDistributed SystemsElasticSearchGoogle Cloud PlatformGrafanaKubernetesNode.jsPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Ontrac Solutions Website LinkedIn All Job Openings 11 - 50 employees Founded 2010 🤖 Artificial Intelligence 💼 Consulting 🤝 B2B Artificial Intelligence
Consulting
B2B Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes. Strategic Cloud Engineer – GCP Platform, FinOps Job not on LinkedIn 🔥 0 minutes ago 🇲🇬 Madagascar – Remote ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer Airflow Apache AWS Azure BigQuery Cloud Distributed Systems ElasticSearch Google Cloud Platform Grafana Kubernetes Node.js Python Terraform Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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
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