U
UJET
Senior Cloud Infrastructure Engineer
Skills
Google Cloud PlatformNodePythonGolangGrafanaPrometheusLinuxKubernetesTerraform
20 hours ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $175,000 / year
Location:
United States
Work mode:
Onsite
Published on:
22 October 2026
What they need
- We are seeking a highly experienced Cloud Infrastructure Engineer to design, build, and evolve the Google Cloud Platform (GCP) infrastructure that powers our cloud-native SaaS platform
- This is a deeply technical, hands-on engineering role requiring strong production experience with Google Kubernetes Engine (GKE), Kubernetes infrastructure, Terraform, and cloud networking, preferably on GCP
- You will be responsible for the foundational infrastructure that supports our engineering organization, including Kubernetes clusters, GCP networking, infrastructure automation, identity and access management, and shared infrastructure services
- Design, build, operate, and maintain production infrastructure on Google Cloud Platform (GCP), including GKE, VPC networking, load balancers, Cloud DNS, IAM, and related cloud services
- Own the architecture and lifecycle of Kubernetes clusters, including provisioning, upgrades, node pool management, autoscaling, networking, capacity planning, and operational troubleshooting
- Develop and maintain Terraform modules, infrastructure-as-code frameworks, and automated provisioning workflows that enable consistent, reliable infrastructure management
- Troubleshoot complex infrastructure issues across Kubernetes, Linux, networking, DNS, cloud services, and distributed systems
- Design and maintain GCP networking infrastructure, including VPCs, subnetworks, firewall rules, routing, NAT, load balancing, and connectivity between services and environments
- Build and improve infrastructure observability using Prometheus, logging systems, metrics, alerting, and related monitoring tools
- Implement and maintain infrastructure security controls, including IAM policies, service accounts, secrets management, and least-privilege access patterns
- Drive infrastructure reliability, scalability, performance, and cost optimization across our GCP environment
- Plan and execute major infrastructure upgrades, migrations, and architectural improvements while minimizing production risk
- Partner with Platform Engineering, SRE, and Security teams to establish scalable infrastructure patterns and clear technical ownership
- Participate in technical design reviews, architecture discussions, and mentorship of other engineers
- What Success Looks Like:
- Our GCP infrastructure is secure, scalable, reliable, and cost-efficient
- Kubernetes clusters are well-managed, observable, consistently maintained, and upgraded with minimal production disruption
- Infrastructure provisioning is automated, repeatable, and maintainable through Terraform
- Complex infrastructure incidents are diagnosed quickly, with sustainable improvements that prevent recurrence
- Engineering teams can depend on stable, well-designed cloud infrastructure foundations
- Infrastructure architecture and operational practices continuously improve as the company scales
- You’ll have the opportunity to work on challenging infrastructure problems at the foundation of a cloud-native SaaS platform. You’ll help shape our GCP and Kubernetes architecture, drive meaningful technical improvements, and work with experienced engineers across Infrastructure, Platform, SRE, and Security- We are looking for engineers who have directly designed, built, operated, and troubleshot complex Kubernetes environments running on cloud providers—not simply deployed applications into existing clusters
- Cloud Native Infrastructure, Google Cloud Platform (GCP) preferred
- Demonstrated experience debugging production infrastructure problems involving multiple GCP services
- Deep practical knowledge of GCP networking, including VPCs, subnets, firewall rules, routing, Cloud NAT, Cloud DNS, and Cloud Load Balancing
- 3+ years of hands-on production experience, including designing, provisioning, operating, and troubleshooting cloud infrastructure
- Experience managing GCP projects, IAM policies, service accounts, and infrastructure security configurations
- Ability to troubleshoot complex Kubernetes infrastructure issues involving networking, DNS, node health, scheduling, resource pressure, and cluster-level failures
- Experience managing node pools, autoscaling, resource requests and limits, cluster capacity, and Kubernetes version upgrades
- Strong understanding of Kubernetes architecture and internals, including the control plane, worker nodes, scheduling, networking, services, ingress, storage, and resource management
- Direct experience provisioning, administering, upgrading, and troubleshooting Kubernetes clusters
- Experience using tools such as kubectl, Helm, and Kubernetes monitoring and diagnostic utilities
- 3+ years of hands-on experience operating production Kubernetes clusters, preferably Google Kubernetes Engine (GKE)
- Experience limited to deploying containerized applications into Kubernetes does not satisfy this requirement
- Experience developing reusable Terraform modules, managing remote state, and implementing safe infrastructure change processes
- 3+ years of professional experience using Terraform to provision and manage production cloud infrastructure
- Experience with Git-based infrastructure management workflows, code reviews, and automated validation
- Strong scripting and automation skills using Python, Go, Bash, or similar languages
- Solid understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, routing, firewalls, and load balancing
- Strong Linux systems administration and troubleshooting skills
- Ability to diagnose difficult infrastructure problems using logs, metrics, traces, packet-level analysis, and systematic debugging techniques
- Experience designing secure, resilient, and scalable production infrastructure
- 8+ years of professional engineering experience
- Extensive experience operating GKE clusters in large-scale, multi-cluster, or multi-region production environments
- Experience with GKE networking, Workload Identity, Gateway API, Ingress controllers, and cluster autoscaling technologies
- Experience designing multi-project GCP architectures with centralized networking, IAM governance, and infrastructure guardrails
- Experience operating Prometheus, Grafana, and centralized logging infrastructure
- Experience supporting highly available SaaS platforms or distributed systems operating at significant production scale
- Experience performing major Kubernetes or GCP infrastructure migrations with minimal production disruption
- Experience with infrastructure cost optimization, capacity modeling, and cloud resource efficiency
- Experience with Kubernetes infrastructure security, including RBAC, network policies, workload identity, and secrets management
- Mentors senior engineers and drives improvements in engineering practices, reliability, maintainability, and infrastructure scalability
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