About The Position
- 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.
About The Position
- 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.
- Collaboration: Work with cross-functional teams, including DevOps, data engineers, and application developers, to deliver cloud solutions.
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.