SRE-GCP Professional

Job Description

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.