Gcp

1 week ago

Pune Maharashtra, India Cybage Full time

Job ID
- NA
- Department
- Engineering
- Location
- Pune
- Work Experience
- 12+ years

About The Position

Must Have Skills
- **GCP Expertise**: In-depth knowledge of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and Pub/Sub.
- ** Infrastructure Automation**: Proficiency with IaC tools like Terraform or GCP Deployment Manager.
- ** Cloud Security**: Strong understanding of IAM, VPC, firewall configurations, and encryption in GCP.
- ** Programming Skills**: Proficiency in Python, Go, or other programming languages for automation and scripting.
- ** Data Engineering Knowledge**: Familiarity with data pipelines and services like Dataflow, Dataproc, or BigQuery.
- ** Monitoring and Observability**: Hands-on experience with GCP monitoring tools and best practices.
- ** Problem-solving**: Strong analytical and troubleshooting skills.
- ** Collaboration**: Excellent communication and teamwork abilities to work effectively across teams.

Roles and Responsibilities
- **Architecture Design**: Design and develop robust and scalable cloud architectures leveraging GCP services to meet business requirements.
- ** Cloud Migration and Optimization**: Lead cloud migration initiatives and optimize existing GCP environments for cost, performance, and reliability.
- ** Infrastructure as Code (IaC)**: Implement and maintain infrastructure automation using tools like Terraform or Deployment Manager.
- ** Integration with Cloud Services**: Integrate various GCP services (e.g., BigQuery, Pub/Sub, Cloud Functions) into cohesive and efficient solutions.
- ** Observability and Monitoring**: Set up monitoring, logging, and alerting using GCP-native tools like Cloud Monitoring and Cloud Logging.
- ** Security and Compliance**: Ensure cloud environments adhere to industry security standards and compliance requirements, implementing IAM policies, encryption, and network security measures.

Preferred Qualifications
- GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer).
- Experience with container orchestration using Kubernetes (GKE).
- Knowledge of CI/CD pipelines and DevOps practices.
- Exposure to AI/ML services like Vertex AI.

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