Compute - New
Tasks
- Continuously improve cloud infrastructure
- Develop GCP documentation and examples
- Develop and test AI agent deployments and workflows
- Develop data processing pipelines with Spark Python and Java
- Engineer manage Conversational Agent services
- Engineer manage Dataflow services
- Engineer manage Dataproc services
- Engineer manage Document AI services
- Engineer manage Gemini Enterprise services
- Engineer manage Vertex AI services
- Implement Tekton CI CD pipelines
- Implement Terraform infrastructure as code
- Integrate data processing pipelines with cloud services
- Maintain IAM roles and permissions
- Monitor cloud services metrics
- Optimize Spark data processing jobs
- Troubleshoot Dataflow jobs
- Troubleshoot Dataproc jobs
- Troubleshoot Vertex AI pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Kafka | Apache OpenAI | Astronomer | Azure OpenAI | BigQuery | CI/CD | Cloud Pub/Sub | Cloud Run | Cloud platform | Conversational Agent | Dataflow | Dataproc | Docker | Document AI | Gemini Enterprise | GitHub | Google Cloud | Google Cloud Platform | Google Cloud Pub/Sub | Google Cloud Run | IAM | Java | Private Cloud | Pub/Sub | Python | Service Controls | Spark | Tekton | Terraform | VPC Service Controls | Vertex AI | Virtual Private Cloud
Education
Roles
Cloud Data Engineer | Cloud Engineer | Cloud) | Data Engineer | Engineer | GCP Cloud Engineer
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