Strategic Cloud Engineer – GCP Platform & FinOps

Posted 2 Days Ago
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Antananarivo, Analamanga, MDG
In-Office
Mid level
Cloud • Information Technology • Consulting • Design • Generative AI
We are aggressively arming companies with GenAI and Public Cloud technologies daily!
The Role
Operate at the intersection of GCP FinOps, Kubernetes platform engineering, automation, observability, and agentic-AI tools to reduce cloud spend, increase platform reliability, automate provisioning, and accelerate engineering output across a regulated multi-product SaaS environment.
Summary Generated by Built In

We are seeking a Strategic Cloud Engineer to operate at the intersection of GCP FinOps (cost optimisation), Kubernetes platform engineering, operational excellence and agentic-AI-driven development.

This is a high-leverage engineering role responsible for optimising cloud spend, increasing platform reliability, and accelerating engineering output through automation and AI-assisted workflows. You will work across GCP, Kubernetes, Terraform and modern AI-assisted development environments. The environment is a high-scale, regulated, multi-product SaaS platform.

What you'll own

  • GCP cost optimisation & FinOps — rightsizing, autoscaling and workload efficiency; cost-observability dashboards (Grafana / BigQuery / billing exports); partnering with engineering teams to architect cost-efficient solutions
  • Kubernetes platform operations (GKE / multi-cluster) — cluster lifecycle, upgrades, node pools and scaling; ingress and domain routing; secrets, environment variables and service deployments; multi-tenant SaaS customer lifecycle events
  • Infrastructure as code & automation — own and evolve Terraform provisioning; support and optimise GitLab CI/CD rollout pipelines; automate customer provisioning and environment configuration
  • Platform services & observability — VictoriaMetrics, StatsD, Grafana, Google Cloud Monitoring, Elasticsearch / OpenSearch, Apache Airflow; troubleshooting distributed systems and production incidents
  • Global operations & reliability — instance provisioning and decommissioning, domain mapping, infrastructure support across providers including Hetzner, and participation in an on-call rotation
  • Agentic-AI engineering enablement — using AI-assisted tools (Cursor, OpenCode, multi-model AI development workflows) to accelerate infrastructure development, automate operational runbooks, and improve debugging of CI/CD pipelines and distributed systems

Core technical requirements

  • Strong expertise in Google Cloud Platform — GKE, Compute Engine, IAM, networking
  • Proven experience with Terraform in production environments
  • 3+ years managing production Kubernetes — cluster lifecycle and upgrades, ingress / reverse-proxy configuration, secrets and configuration management
  • Demonstrated ability to optimise cloud spend in production — cost allocation and usage patterns, rightsizing and scaling strategies, and building cost-visibility dashboards
  • GitLab CI/CD (preferred) or GitHub Actions, with the ability to debug pipelines and support release workflows
  • Grafana / VictoriaMetrics / StatsD / Google Cloud Monitoring; Elasticsearch / OpenSearch; Apache Airflow / Airbyte / n8n
  • Scripting in Python, Bash or similar
  • Agentic AI development (required baseline) — working familiarity with AI-native IDEs such as Cursor and agent-based development environments, and the ability to use AI to generate, review and optimise infrastructure code

Nice to have

  • Multi-cloud exposure (AWS / Azure)
  • Experience in regulated environments (SOC 2, ISO)
  • Exposure to European infrastructure providers (Hetzner)
  • Experience building internal developer platforms (IDP)

Skills Required

  • Strong expertise in Google Cloud Platform (GKE, Compute Engine, IAM, networking)
  • Proven experience with Terraform in production environments
  • 3+ years managing production Kubernetes (cluster lifecycle, upgrades, ingress, secrets management)
  • Demonstrated ability to optimise cloud spend in production (cost allocation, rightsizing, autoscaling)
  • Experience building cost-observability dashboards (Grafana, BigQuery, billing exports)
  • GitLab CI/CD (preferred) or GitHub Actions with pipeline debugging capability
  • Experience with Grafana, VictoriaMetrics, StatsD, Google Cloud Monitoring
  • Experience with Elasticsearch or OpenSearch
  • Experience with Apache Airflow, Airbyte or n8n
  • Scripting in Python, Bash or similar
  • Working familiarity with agentic AI development and AI-native IDEs (Cursor, OpenCode)
  • Exposure to European infrastructure providers (Hetzner)
  • Experience in regulated environments (SOC 2, ISO)
  • Experience building internal developer platforms (IDP)
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The Company
HQ: Chicago, Illinois
6 Employees
Year Founded: 2010

What We Do

Ontrac Solutions helps organizations adopt emerging technologies to scale smarter. We build GenAI platforms, predictive analytics solutions, and drive cloud adoption. We're also a HubSpot partner, supporting landing page design, website development, CRM integration, workflows, and automation. From infrastructure to marketing ops, we deliver strategy and execution that drives growth.

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