RiDiK - DevOps Engineer/Technical Lead - Google Cloud Platform (4-7 yrs)

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 services.

- 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.