Gcp Engineer

Key Responsibilities:Cloud Platform: GCP

• Infrastructure Automation: Design, implement, and manage infrastructure as code using Terraform to provision and manage GCP resources.
• Container Orchestration: Deploy and manage Kubernetes clusters, ensuring efficient operation of containerized applications.
• Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines using Jenkins to automate application build, test, and deployment processes.
• Containerization: Collaborate with development teams to containerize applications using Docker and manage deployments with Helm Charts.
• Code Quality Assurance: Integrate and manage SonarQube to ensure code quality and security standards are met.
• Monitoring and Logging: Implement and manage monitoring solutions using Datadog to ensure system health, performance, and security.
• Collaboration: Work closely with cross-functional teams, including developers, QA, and operations, to streamline processes and improve productivity.

Requirements:

• Experience: 5+ years in DevOps or cloud engineering roles, with at least 3 years of relevant experience in the specified technologies.
• Technical Proficiency:
• Hands-on experience with GCP services and architecture.
• Proficiency in Terraform for infrastructure as code implementations.
• Strong understanding and experience with Kubernetes and Docker.
• Experience in setting up and managing CI/CD pipelines using Jenkins.
• Familiarity with Helm Charts for application deployment.
• Experience with SonarQube for code quality analysis.
• Proficiency in monitoring and logging tools, particularly Datadog.
• Scripting Skills:Proficiency in scripting languages such as Bash or Python is an added advantage.
• Strong problem-solving abilities and analytical thinking.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment.
• Strong organizational and time management skills.