Strategic Cloud Engineer – GCP Platform & FinOps
Ontrac Solutions · full-time · posted 9 Aug
You came here asking one thing. Salary?
$$$ → ✓
$100,000 to $150,000 per year
Second question — can you apply from where you sit?
Open to U.S.
Compare it with where you sit.
→ inferred locally from your browser clock. nothing is stored.
The actual job
Strategic Cloud Engineer – GCP Platform & FinOps
Ontrac Solutions
- Top skills
- Python · AWS · Azure
- Engagement
- Full-time
- Posted
- 3 days ago
What the posting asks for
- 3 years of experience
- GCP
- Kubernetes
- Terraform
- Cost optimization
Employer text
The posting, in its own words
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)
Onward
More DevOps Engineer roles with overlapping applicant locations
Infrastructure Security Engineer
about 11 hours agoAWS · Kubernetes
5 years of experience, AWS, Kubernetes, CI/CD security integrations, Terraform, Helm, Flux, ArgoCD, Okta, Web Application Firewalls, monitoring and logging platforms, security policies as code, incident response, active Secret clearance
Cloud Engineer – Windows & Linux Platform Automation
3 days agoPython · SQL · AWS
4 years of experience, Microsoft platform management, Linux platform management, Public cloud services (Azure, AWS, GCP), Production networking, Configuration-management tools, SQL Server, PostgreSQL, MongoDB, Elasticsearch, Python, Terraform, PowerShell, Container scheduling engines (Mesos, Docker, Kubernetes), CI/CD solutions (GitHub Actions, Jenkins, CircleCI, ArgoCD), Level-3 support in ticketing systems
AWS Platform Specialist
5 days agoPython · AWS
6 years of experience, AWS core services, Infrastructure-as-code (Terraform, AWS CDK), Amazon EKS or ECS clusters, CI/CD pipelines, Cloud security and compliance, Observability and monitoring, AWS Certified Solutions Architect – Professional, Multi-account AWS Organizations, FinOps practices, Regulated workloads (HIPAA, PCI-DSS)
