Senior Cloud Engineer(GCP)
IN - HYDERABAD SKYVIEW, India
INR 2755K-3500K (estimate) Senior-level Full Time
Tasks
- Automate ML pipeline workflows
- Build infrastructure as code with Terraform
- Collaborate with cross-functional teams
- Conduct root cause analysis for outages
- Configure encryption and network security
- Deploy machine learning models using Vertex AI
- Design and deploy GCP infrastructure
- Enforce security and compliance controls
- Implement IAM and secure authentication
- Implement disaster recovery and backups
- Maintain infrastructure documentation
- Maintain secondary proficiency in AWS
- Manage and scale container orchestration
- Manage real time inference pipelines
- Optimize cost and performance
- Participate in code reviews and architecture planning
- Respond to incidents and maintain SLAs
- Set up CI/CD pipelines
- Set up logging, monitoring, and alerting
- Support containerized AI workloads
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Financial wellness programs
- Generous time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
AI endpoints | API Gateway | AWS | Apache Airflow | Artifact Registry | 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 Storage versioning | Cloud logging | Cloud platform | Command Center | Compute Engine | Deployment Manager | EC2 | EKS | GCP | GKE | Google Cloud | Google Cloud Deployment | Google Cloud Deployment Manager | Google Cloud Platform | IAM | Infrastructure as Code | Kubernetes | Microservices | RDS | S3 | SageMaker | Security Command Center | Service accounts | Terraform | VPC | Vertex AI | Vertex AI Endpoints | Workload Identity | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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