Senior Cloud Engineer(GCP)
IN - HYDERABAD SKYVIEW, India
INR 2755K-3465K (estimate) Senior-level Full Time
Tasks
- Automate data processing workflows for ML pipelines
- Build infrastructure as code with Terraform
- Collaborate with SecOps and SRE for security and root cause analysis
- Configure IAM roles and service accounts
- Configure logging, monitoring, and alerting
- Deploy machine learning models with Vertex AI
- Design and deploy GCP infrastructure
- Enforce security and compliance controls
- Implement disaster recovery and backups
- Implement workload identity
- Maintain infrastructure documentation
- Maintain secondary proficiency in AWS
- Manage and scale container orchestration
- Manage real time inference pipelines
- Monitor infrastructure health and respond to incidents
- Optimize cost and performance
- Perform code reviews and architectural planning
- Set up CI/CD pipelines
- Support containerized AI workloads
Perks/Benefits
- Company-matched student loan contribution
- Continuous learning
- Family-friendly perks
- Flexible time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
AI endpoints | API Gateway | AWS | Access Management | Agile | Amazon EC2 | Amazon EKS | Amazon RDS | Amazon S3 | Amazon SageMaker | Apache Airflow | Artifact Registry | Cloud Build | Cloud CDN | Cloud Composer | Cloud Dataflow | Cloud Deploy | Cloud Functions | Cloud KMS | Cloud Monitoring | Cloud Run | Cloud SQL | Cloud Scheduler | Cloud Storage | Cloud logging | Cloud platform | Command Center | Compute Engine | GCP Compute Engine | GCP compute | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes Engine | Security Command Center | Terraform | VPC | Vertex AI | Vertex AI Endpoints | Workload Identity | “as-code”
Education
Roles
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