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Cloud Infrastructure Specialist

2 weeks ago

Anywhere in IndiaMultiple Locations Coders Brain Technology Pvt. Ltd. Full time

**Job Summary:**

Coders Brain Technology Pvt. Ltd. is seeking an experienced Cloud/DevOps Engineer to design, implement, and manage cloud infrastructure and services across multiple environments.

This role requires deep expertise in Google Cloud Platform (GCP) services, DevOps practices, and Infrastructure as Code (IaC). The candidate will be deploying, automating, and maintaining high-availability systems, and implementing best practices for cloud architecture, security, and DevOps pipelines.

Key Responsibilities:

1. Cloud Infrastructure Design and Deployment:

- Architect, design, and implement scalable, reliable, and secure solutions on GCP.

- Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.

- Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions, and more.

2. Infrastructure as Code (IaC) and Automation:

- Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.

- Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.

3. DevOps and CI/CD Pipeline Development:

- Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.

- Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.

4. Security and IAM Management:

- Handle user and service account management in Google Cloud IAM.

- Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.

- Implement network and data security best practices to ensure compliance and security of cloud resources.

5. Performance Monitoring and Optimization:

- Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.

- Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.

Technical Skills:

- Expertise with GCP services, including but not limited to Compute Engine, Kubernetes Engine (GKE), BigQuery, Cloud Storage, Pub/Sub, Datafusion, Airflow, Cloud Functions, and Cloud SQL.

- Proficiency in scripting languages like Python, Bash, or PowerShell for automation.

- Familiarity with DevOps tools and CI/CD processes (e.g. GitLab CI, Cloud Build).