Strategic Cloud Engineer – GCP Platform, FinOps

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Ontrac Solutions

WebsiteLinkedInAll 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.

📋 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 • Experience building internal developer platforms is nice to have