Cloud Support Engineer

Roles and Responsibilities :

• Provide support for GCP managed infrastructure services, including Compute Engine, Kubernetes Engine, Cloud Storage, Networking, and other cloud resources .
• Monitor and respond to alerts, incidents, and service requests from clients or internal teams.
• Troubleshoot and resolve infrastructure issues, including VM failures, network connectivity, storage access, and service API errors.
• Work closely with support, engineering, and cloud architects to escalate and resolve complex problems.
• Participate in incident management, root cause analysis (RCA), and post-incident reviews.
• Assist in automation and scripting to streamline support processes (using tools like Terraform, gcloud CLI, Python, or Bash).
• Manage GCP IAM policies, quotas, billing alerts, and resource provisioning issues.
• Maintain documentation, runbooks, and knowledge base articles related to GCP infrastructure support.
• Understands Compute, Network, Storage, Databases, Containers, DevOps, Security Operations, Kubernetes, Micro-services on public cloud platforms
• Support onboarding and migration activities for new customers or workloads on GCP.
• Collaborate with cross-functional teams to implement best practices for cloud security, compliance, and performance optimization.
• Provide proactive recommendations for infrastructure improvements and cost optimization.

Skillsets Requirements

Technical Skills

Soft Skills

➔ Excellent verbal and written communication skills is a must.

➔ He / She will be open to work in a 24x7 model to ensure all the services are being delivered within SLAs

➔ Experience working in a 24 / 7 support or managed services environment is a plus.

➔ Creative thinking and ability to innovate, problem-solving skills, escalation handling and customer success.

➔ Customer service obsession with strong interpersonal skills is a must.

➔ Ability to work cross-functionally for the greater good of the company

➔ A passion for the service delivery excellence

➔ Skilled in handling numerous projects simultaneously.

➔ Engage directly with end users to collect requirements and advise on data integration solutions ➔ Leadership qualities to guide and mentor junior team members, contributing to their professional development.

➔ Strong analytical and problem-solving skills to address challenges and troubleshoot issues in platform engineering processes.

➔ A meticulous approach to ensure data accuracy, quality, and adherence to best practices in platform engineering processes.

➔ Enthusiasm for continuous learning to stay updated on industry trends, emerging technologies, and best practices in platform engineering.

Preferred Qualifications :

Educational Qualifications :