Job
Description
At RemoteStar , we re hiring for one of our clients: About the Client: A leading multinational IT services and consulting company specializing in digital transformation, cloud solutions, and AI-driven innovation. With a strong global presence, the company partners with enterprises across various industries to deliver cutting-edge technology solutions. Job title - GCP Infra Architect Experience - 10+ Location - India (Hybrid) Industry Preference - Healthcare backgrounds is a must have About Job role: The Google Cloud DevOps Engineer will be responsible for automating infrastructure provisioning and configuration management using Terraform and Ansible. The role involves designing, implementing, and maintaining CI/CD pipelines on GCP using Azure DevOps. The ideal candidate will have extensive experience with GCP resources, particularly in data engineering, and possess strong scripting skills in Python and Bash. Responsibilities: Automate infrastructure provisioning and configuration management using Terraform and Ansible. Design, implement, and maintain CI/CD pipelines on GCP using Azure DevOps. Manage and optimize GCP resources, including Compute Engine, Data Fusion, Dataflow, Cloud Composer, BigQuery, and BigQuery datasets. Develop and maintain infrastructure as code (IaC) to ensure scalable and reliable deployment of applications. Collaborate with development and operations teams to ensure seamless integration and delivery of software. Monitor, troubleshoot, and optimize performance of GCP infrastructure and services. Create and maintain documentation for infrastructure and operational processes. Conduct performance tuning, monitoring, and maintenance of CI/CD pipelines. Utilize Python and Bash scripting for automation tasks and process improvements. Qualifications : Proven experience as a DevOps Engineer or similar role, with a focus on GCP. Strong experience with Terraform and Ansible for infrastructure automation and configuration management. Proficient in designing and maintaining CI/CD pipelines using Azure DevOps. In-depth knowledge of GCP resources, particularly in data engineering: Compute Engine, Data Fusion, Dataflow, Cloud Composer, BigQuery, and BigQuery datasets. Solid scripting skills in Python and Bash. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with monitoring tools and logging frameworks. Preferred Qualifications: GCP Professional Cloud DevOps Engineer certification.
