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 :
3+ years in DevOps or cloud engineering roles, with 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.
Cloud Engineer Cloud • India