Platform 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

Must have 1 to 3 years experience in provisioning infrastructure as a service cloud computing for cloud platforms. Exposure to GCP is preferable.

? Hands-on experience with Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, VPC, IAM, and Cloud Monitoring.

? Solid understanding of cloud infrastructure concepts including networking (VPC, VPN, firewall rules), storage, and compute resources.

? Experience with incident management tools and ticketing systems (e.g., Jira, ServiceNow).

? Knowledge of infrastructure as code (IaC) tools like Terraform or Deployment Manager.

? Strong troubleshooting skills for cloud infrastructure issues.

? Familiarity with Linux system administration and command-line tools.

? Basic scripting skills (Python, Bash, or similar) for automation.

? Understanding of security best practices in cloud environments.

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:

? Google Cloud Certified Associate Cloud Engineer or Professional Cloud Engineer.

? Experience with Kubernetes and container orchestration.

? Knowledge of CI/CD pipelines and DevOps practices.

? Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.

? Understanding of networking protocols and troubleshooting (TCP/IP, DNS, HTTP).

Educational Qualifications:

? Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience).