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TalentOla

Google Cloud Platform Engineer

TalentOla, Charlotte, North Carolina, United States, 28245


Job Title: Google Cloud Platform L2 Support Engineer (GKE/Kubernetes Specialist and Tech Lead)Location: Charlotte, NC (Onsite)Job Description:Overview:We are seeking a highly skilled and motivated Google Cloud Platform (GCP) L2 Support Engineer with specialized expertise in Google Kubernetes Engine (GKE) or Kubernetes to serve as our Technical Lead. This role is critical in providing advanced technical support, leading the technical team, resolving complex issues, and ensuring the smooth operation of our GCP environments. The ideal candidate will possess deep knowledge of GCP services, particularly GKE/Kubernetes, demonstrate strong problem-solving skills, and have proven leadership abilities.Responsibilities:1.

Technical Support:Provide L2 support for GCP environments, focusing on GKE/Kubernetes.Troubleshoot and resolve complex issues related to GCP services and Kubernetes clusters.Collaborate with L1 support and other teams to ensure timely resolution of issues.1.

Technical Leadership:Lead and mentor a team of support engineers, fostering a collaborative and high-performance culture.Provide technical guidance and support to team members, ensuring best practices are followed.Conduct regular team meetings and technical reviews to ensure alignment with organizational goals.2.

Incident and Problem Management:Manage and resolve incidents and problems in a timely manner.Conduct root cause analysis and implement corrective actions to prevent recurrence.Document incident resolutions and contribute to the knowledge base.3.

Change and Release Management:Review and approve Change Requests in ServiceNow.Participate in change management processes to ensure minimal disruption to services.Coordinate with relevant teams to deploy changes and updates.4.

Monitoring and Performance Tuning:Monitor GCP and Kubernetes environments to ensure optimal performance and availability.Identify performance bottlenecks and implement tuning measures.Utilize monitoring tools to proactively detect and resolve issues.5.

Automation and Scripting:Develop and maintain scripts and automation tools to streamline support processes.Automate repetitive tasks to improve efficiency and reduce human error.6.

Collaboration and Communication:Work closely with cross-functional teams, including development, operations, and security.Participate in JIRA scrum meetings for prioritization and planning.Communicate effectively with stakeholders, providing updates on support activities and project progress.7.

Documentation and Training:Create and maintain comprehensive documentation for GCP and Kubernetes environments.Conduct training sessions and workshops to share knowledge with the team.Develop and deliver technical training programs for new team members.Education:Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience).Experience:Minimum of 7 years of experience in IT support or cloud support roles.At least 3 years of hands-on experience with GCP services, including GKE/Kubernetes.Proven experience in a leadership or technical lead role.Technical Skills:Strong proficiency in GCP services (Compute Engine, Cloud Storage, Cloud Networking, etc.).Expert knowledge of GKE/Kubernetes, including cluster management, deployments, and scaling.Familiarity with containerization and orchestration tools (Docker, Helm, Istio).Experience with monitoring and logging tools (Stackdriver, Prometheus, Grafana).Proficiency in scripting languages (Python, Bash, etc.) and automation tools (Terraform, Ansible).Leadership Skills:Strong leadership and team management skills.Ability to mentor and develop junior team members.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work independently and as part of a team.Adaptability and willingness to learn new technologies.

Certifications (Preferred):Google Cloud Professional Cloud Architect.Google Cloud Professional DevOps Engineer.Certified Kubernetes Administrator (CKA).