JOB DESCRIPTION:

Seeking: hands-on Solution Architect with deep expertise in Google Distributed Cloud Edge (GDC Edge), networking, and Kubernetes (GKE). This role is ideal for professionals who can design, deploy, and optimize edge-native solutions that bring cloud capabilities to on-premises and remote environments.

YOUR SKILLS AND EXPERIENCE

• 5+ years of experience in cloud architecture, with 2+ years of GCP edge computing.
• Strong hands-on experience with Google Kubernetes Engine (GKE) and container orchestration.
• Deep understanding of networking concepts: routing, firewalls, VPNs, load balancing, and service discovery.
• Experience with Anthos, Cloud Run for Anthos, and GDC Edge hardware.
• Proficiency in scripting (e.g., Python, Bash) and automation tools (Terraform, Ansible) is an added advantage
• Familiarity with CI/CD pipelines, GitOps, and DevSecOps practices.

PREFERRED QUALIFICATIONS:

• Google Cloud certifications (e.g., Professional Cloud Architect, Hybrid Cloud Infrastructure).
• Experience with on-premises edge deployments in industries like retail, manufacturing, or telecom.
• Knowledge of data sovereignty, compliance, and offline resilience strategies.
  Job Types: Full-time, Part-time
  Pay: $120,000.00 - $150,000.00 per year
  Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance

Experience:

• Google Distributed Cloud Edge (GDC Edge): 3 years (Required)
• Google Kubernetes Engine (GKE): 2 years (Required)

Work Location: On the roa

• Hands on experience as Architect and implement edge computing solutions using Google Distributed Cloud Edge, including Anthos, GKE, and GDC hardware.
• Design hybrid cloud-edge architectures that support low-latency, high-availability workloads across distributed environments.
• Hands on experience in deployment of GKE clusters on edge hardware and integrate with centralized Google Cloud services.
• Configure and optimize networking and security for edge environments, including VPNs, VPCs, and service meshes.
• Collaborate with infrastructure, DevOps, and application teams to ensure seamless integration of edge workloads.
• Develop automation scripts and Infrastructure as Code (IaC) using Terraform or Deployment Manager.
• Provide technical leadership and mentorship on edge computing best practices and GCP-native solutions.
• Monitor and troubleshoot edge workloads using tools like Cloud Monitoring, Prometheus, and Grafana.