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Senior Cloud Infrastructure Engineer

UJET

Join our team as a Senior Cloud Infrastructure Engineer, where you will design, build, and evolve the Google Cloud Platform (GCP) infrastructure for our cloud-native SaaS platform. This hands-on engineering role requires strong production experience with Google Kubernetes Engine (GKE), Kubernetes infrastructure, Terraform, and cloud networking. 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.

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

About UJET

Mentors senior engineers and drives improvements in engineering practices, reliability, maintainability, and infrastructure scalability

Responsibilities

  • 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.
  • Cloud Native Infrastructure, Google Cloud Platform (GCP) preferred
  • Experience with Kubernetes infrastructure security, including RBAC, network policies, workload identity, and secrets management

Requirements

  • 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

Preferred

  • Experience with infrastructure cost optimization, capacity modeling, and cloud resource efficiency

Pay

USD 150,000 - 175,000