Senior Cloud Engineer(GCP)
INR 2755K-3465K (estimate) Senior-level Full Time
Tasks
- Automate ML data processing workflows
- Build CI CD pipelines with Cloud Build
- Collaborate with SecOps and SRE teams
- Conduct architecture planning and code reviews
- Configure workload identity authentication
- Deploy and manage container orchestration platforms
- Deploy machine learning models with Vertex AI
- Design and deploy GCP cloud infrastructure
- Enforce security and compliance controls
- Implement disaster recovery and backups
- Implement secure IAM and service accounts
- Maintain infrastructure as code with Terraform
- Maintain infrastructure documentation
- Manage incident response and runbooks
- Manage real time inference with Vertex AI Endpoints
- Monitor infrastructure health and SLAs
- Optimize infrastructure for cost and performance
- Set up logging, monitoring, and alerting
Perks/Benefits
- N/A
Skills/Tech-stack
AI endpoints | API Gateway | AWS | Agile | Amazon EC2 | Amazon EKS | Amazon RDS | Amazon S3 | Amazon SageMaker | Apache Airflow | Artifact Registry | Auto Scaling | CI/CD | Cloud Build | Cloud CDN | Cloud Composer | Cloud Dataflow | Cloud Deploy | Cloud Deployment Manager | Cloud Functions | Cloud KMS | Cloud Monitoring | Cloud Run | Cloud SQL | Cloud Scheduler | Cloud Storage | Cloud logging | Cloud platform | Command Center | Committed Use | Committed Use Discounts | Compute Engine | Deployment Manager | Disaster Recovery | GKE | Google Cloud | Google Cloud Deployment | Google Cloud Deployment Manager | Google Cloud Platform | IAM | Infrastructure as Code | Microservices | Security Command Center | Service accounts | Sustained Use Discounts | Terraform | VPC | Vertex AI | Vertex AI Endpoints | Workload Identity | “as-code”
Education
Roles
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