Google Cloud DevOps Engineer- Tech Lead _ Hyderabad

1 day ago

hyderabad, India RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) Full time

Greetings from Ridik Consulting Private Limited

Position: Google Cloud DevOps Engineer

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.

  • Mandatory Skills - Azure DevOps CI/CD pipeline (yaml based pipeline), GitHub Actions, GCP cloud, DOCKER, Kubernetes, TERRAFORM, Bash / power shell script, Automation

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 service s.
  • - Implement best practices for security, reliability, and scalability of cloud infrastructure.
  • - 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.

Required Skills:

  • - 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.
  • - Excellent problem-solving skills and attention to detail.
  • - Strong communication and collaboration skills.

Preferred Skills:

  • GCP Professional Cloud DevOps Engineer certification.
  • Experience with other CI/CD tools and platforms.
  • Familiarity with other programming languages and frameworks.

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