Senior Site Reliability Engineer (GCP Cloud)

United States Digital Space LLC

United States

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking an experienced cloud infrastructure engineer to design, implement, and operate secure, scalable GCP infrastructure for production SaaS workloads.

You will collaborate with engineering, DevOps, security, and networking teams to build highly available platforms, implement GitOps, and drive cost optimization across the stack.

Qualifications

  • 5+ years of infrastructure/platform engineering experience.
  • Managing production GCP environments.
  • Strong Kubernetes/GKE administration experience.
  • Hands-on expertise with Terraform, Helm, GitLab CI/CD, and GitOps.
  • Experience with Linux, networking, IAM, cloud security, and SaaS operations.
  • Bachelor's degree in Computer Science or equivalent experience.

Responsibilities

  • Serve as the GCP SME for cloud architecture, engineering, and operations.
  • Design and manage production GCP infrastructure using Terraform.
  • Administer GKE clusters, Kubernetes workloads, autoscaling, upgrades, and networking.
  • Implement GitOps and CI/CD using GitLab, ArgoCD, Helm, Terraform, and Jenkins.
  • Manage Shared VPC, Cloud NAT, Load Balancers, Cloud DNS, Private Service Connect, and firewall policies.
  • Implement IAM, Secret Manager, Vault, and Cloud Armor.
  • Support Cloud SQL (PostgreSQL), Redis, Kafka, and Artifact Registry.
  • Implement monitoring with Cloud Monitoring, Cloud Logging, Prometheus, Grafana, and New Relic.
  • Drive SRE practices, incident response, disaster recovery, capacity planning, and cost optimization.
  • Partner with Security on SOC 2, vulnerability remediation, and governance.
  • Support Vertex AI and Model Garden infrastructure where applicable.

Skills

Kubernetes/GKE
Linux
Networking
IAM
Cloud security
SaaS operations

Education

Bachelor's degree in Computer Science or equivalent experience

Tools

Terraform
Helm
GitLab CI/CD

Job description

Overview

About the company

the company is a leading meetings, events, and hospitality technology provider that helps organizations plan, manage, and deliver in-person, virtual, and hybrid events. The Cloud Engineering team designs, builds, and operates secure, scalable cloud platforms supporting mission‑critical SaaS applications used by customers worldwide. For more information, visit https://www.the company.com.

Role Summary

Design, implement, and operate secure, scalable Google Cloud Platform (GCP) infrastructure supporting production SaaS workloads. Partner with engineering, DevOps, networking, and security teams to build highly available, observable, automated, and cost‑efficient cloud platforms.

In This Role, You Will
  • Serve as the GCP Subject Matter Expert for cloud architecture, engineering, and operations.
  • Design and manage production GCP infrastructure using Terraform (IaC).
  • Administer GKE clusters, Kubernetes workloads, autoscaling, upgrades, and networking.
  • Implement GitOps and CI/CD using GitLab, ArgoCD, Helm, Terraform, and Jenkins.
  • Manage Shared VPC, Cloud NAT, Load Balancers, Cloud DNS, Private Service Connect, and firewall policies.
  • Implement IAM, Secret Manager, Vault, and Cloud Armor.
  • Support Cloud SQL (PostgreSQL), Redis, Kafka, and Artifact Registry.
  • Implement monitoring with Cloud Monitoring, Cloud Logging, Prometheus, Grafana, and New Relic.
  • Drive SRE practices, incident response, disaster recovery, capacity planning, and cost optimization.
  • Partner with Security on SOC 2, vulnerability remediation, and governance.
  • Support Vertex AI and Model Garden infrastructure where applicable.
Here’s What You Need
  • 5+ years of infrastructure/platform engineering experience.
  • Managing production GCP environments.
  • Strong Kubernetes/GKE administration experience.
  • Hands‑on expertise with Terraform, Helm, GitLab CI/CD, and GitOps.
  • Experience with Linux, networking, IAM, cloud security, and SaaS operations.
  • Bachelor's degree in Computer Science or equivalent experience.

LinkedIn Remote Type: #LI-Hybrid

Indeed Remote Type: N/A

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