What are the responsibilities and job description for the Senior Cloud Engineering Support Specialist (Google Cloud) position at TekWissen ®?
Overview
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is the largest private broadband company in America, providing advanced digital video, Internet, telephone and home security and automation services over its own nationwide IP network. The client is committed to creating meaningful moments of human connection through technology. The largest private broadband company in America, we proudly serve six and a half million homes and businesses across 18 states. They are dedicated to empowering others to build a better future and celebrate diverse products, people, suppliers, communities and the characteristics that make each one unique.
Job Title: Senior Cloud Engineering Support Specialist (Google Cloud)
Work Location: Raleigh, NC, 27603
Duration: 12 Months
Work Type: Contract
Job Type: Remote
Role Summary
Minimum:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is the largest private broadband company in America, providing advanced digital video, Internet, telephone and home security and automation services over its own nationwide IP network. The client is committed to creating meaningful moments of human connection through technology. The largest private broadband company in America, we proudly serve six and a half million homes and businesses across 18 states. They are dedicated to empowering others to build a better future and celebrate diverse products, people, suppliers, communities and the characteristics that make each one unique.
Job Title: Senior Cloud Engineering Support Specialist (Google Cloud)
Work Location: Raleigh, NC, 27603
Duration: 12 Months
Work Type: Contract
Job Type: Remote
Role Summary
- As a Senior Cloud Engineering Support Specialist in our Network Operations Center (NOC), you will play a critical role in ensuring the operational success of Google Cloud-based infrastructures for our clients and internal teams.
- This role is ideal for individuals eager to specialize in Google Cloud while gaining hands-on experience in cloud operations.
- Monitor and manage Google Cloud infrastructures using industry-leading Remote Monitoring and Management (RMM) tools.
- Onboard and offboard clients, ensuring seamless GC service integration.
- Troubleshoot and resolve issues related to Google Cloud instances, storage, networking, and security.
- Perform proactive GC environment health checks and remediation.
- Develop and implement automation scripts using Python, Terraform, and PowerShell.
- Provide technical support to clients, ensuring minimal downtime and optimal performance.
- Leverage Google Cloud Operations Suite (formerly Stackdriver) for log analysis, alerting, and troubleshooting.
- Manage Google Cloud IAM for security and access control.
- Collaborate with cloud engineers, DevOps teams, and security specialists to optimize operations.
- Reduce Mean Time to Resolve (MTTR) incidents through automation and process enhancements.
- Maintain up-to-date documentation of troubleshooting procedures and best practices.
Minimum:
- High School Diploma/GED and 5 years of experience in a related field, or Google Cloud certifications (e.g., Google Associate Cloud Engineer, Google Professional Cloud Architect) with 2 years of experience.
- Experience with Google Cloud remote monitoring and management tools.
- Familiarity with GKE, Cloud Run, and hybrid cloud solutions.
- Proficiency in automation development using Terraform, Python, or Bash scripting.
- Strong troubleshooting skills in Google Cloud and Linux environments.
- Experience using JIRA, ServiceNow or similar service request ticketing systems.
- Ability to analyze data and recommend performance monitoring KPIs and SLAs.
- Passion for cloud technology, innovation, and continuous learning.
- Additional cloud certifications (e.g., AWS, Azure) for multi-cloud exposure.
- Experience with Google Cloud AI & ML services.
- Background in DevOps methodologies and CI/CD pipelines.
- Knowledge of Google Cloud cost optimization strategies.