Google Cloud Engineer Infrastructure Operations & Capacity – English

Description

Our client is a fast-growing technology organisation specialising in SaaS solutions for voice and SMS communications, supporting performance marketing and lead generation at scale. With a global customer base and high-volume, carrier-grade infrastructure, the company is focused on delivering reliable, scalable communication solutions in a fast-paced and highly regulated environment. The team is lean, international, and fully remote, with colleagues working across Europe.

They are now looking for a driven Google Cloud Engineer, Infrastructure Operations & Capacity to join their remote team.

Job Profile for Google Cloud Engineer, Infrastructure Operations & Capacity
Responsibilities will include, but not be limited to:

• Monitor and manage server and compute capacity across GCP so we never run short, including proactive scaling ahead of demand
• Manage core GCP resources – Compute Engine instances, VPC networking, load balancers, Managed Instance Groups (MIGs)
• Set up and maintain monitoring, alerting, and uptime dashboards for infrastructure health
• Act as first responder on infrastructure incidents and alerts – triage, resolve, and escalate when needed
• Manage backups, disaster-recovery readiness, and basic security hardening (patching, firewall rules, IAM)
• Track and optimise cloud spend – right-sizing instances, reserved capacity, eliminating waste
• Maintain clear infrastructure documentation and incident runbooks
• Support deployments and releases from an infra-readiness standpoint, working closely with the Backend and Platform Engineer and VoIP Engineer

Candidate Profile for Google Cloud Engineer, Infrastructure Operations & Capacity

• Must be fluent in English, both written and spoken
• 2–5 years of experience in cloud infrastructure, DevOps, or site reliability roles
• Hands-on production experience with Google Cloud Platform (GCP)
• Experience maintaining reliable, properly resourced production systems under variable traffic
• Strong GCP, Linux, infrastructure-as-code (Terraform), capacity planning, autoscaling, and networking skills
• Experience with Docker/Kubernetes (GKE), high-volume SaaS/telecom environments, FinOps, or AI-driven infrastructure automation is a plus
• Comfortable with on-call responsibilities and production incident response
• Proactive approach to capacity, reliability, and cloud cost management
• Ability to work independently in a fully remote environment

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