Senior Cloud Infrastructure Engineer

UJET; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

UJET is seeking a highly experienced Cloud Infrastructure Engineer to design, build, and evolve our GCP infrastructure powering our cloud-native SaaS platform. The role is hands-on and deeply technical, with strong production experience in GKE, Kubernetes infrastructure, Terraform, and cloud networking on GCP.

You will own the architecture and lifecycle of Kubernetes clusters, manage VPC networking and Cloud DNS, and develop automation workflows to ensure reliable provisioning.

Qualifications

• 8+ years of professional engineering experience in cloud infrastructure.
• Deep hands-on production experience with GKE, Kubernetes, and Terraform on GCP.
• Strong knowledge of VPC networking, routing, DNS, NAT, and load balancing.

Responsibilities

• Design, build, operate, and maintain production infrastructure on GCP (GKE, VPC, DNS, IAM).
• Own architecture and lifecycle of Kubernetes clusters, including upgrades and autoscaling.
• Develop and maintain Terraform modules and automation workflows for repeatable provisioning.
• Troubleshoot complex issues across Kubernetes, Linux, networking, and cloud services.
• Improve infrastructure observability with Prometheus, logging, metrics, and alerting.
• Implement security controls including IAM policies and secrets management.
• Collaborate with Platform Engineering, SRE, and Security teams for scalable patterns.

Skills

GKE

Kubernetes

Terraform

Cloud networking

IAM

Observability

Prometheus

Grafana

SRE practices

Linux administration

Networking troubleshooting

Education

Bachelor's degree in CS or equivalent

Tools

kubectl

Helm

Terraform

Job description

• 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