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.