Cloud Engineer
1 week ago
Your key responsibilities will include -
- Design, implement, and manage cloud infrastructure (Azure / GCP) including compute, networking, storage, and IAM/security
- Design, implement and manage serverless application deployment using Cloud Run / Azure Container Service, Load Balancer, DNS, Cloud Function / Azure Function
- Deploy and manage data services such as BigQuery, Cloud SQL, Cloud Spanner, Synapse, Data Factory, Dataflow, Dataproc, Pub/Sub, and Data Lake solutions
- Build and maintain Infrastructure as Code (IaC) using Terraform for provisioning and automation
- Implement and optimize DevOps practices including CI/CD pipelines, GitOps, containerization (Docker, Kubernetes, GKE/AKS), and monitoring tools
- Develop automation scripts and serverless functions in Cloud Function / Azure Function using Python
- Collaborate with teams to deliver secure, scalable, and cost-optimized cloud solutions
- Explore and support use cases for Generative AI (GenAI), AI/ML services, and Vertex AI / Azure OpenAI
Mandatory Skills
- 3- 8 years of experience in cloud consulting, cloud engineering, or DevOps engineering.
- Strong expertise in MS Azure or Google Cloud Platform (GCP).
- Hands-on experience in infrastructure services (VMs, networking, load balancers, firewalls, storage, IAM).
- Experience with data services (databases, warehouses, data pipelines, ETL tools).
- Terraform proficiency for IaC.
- Python scripting for automation and data workflows.
- Strong knowledge of CI/CD, DevOps pipelines, GitHub Actions, GitLab CI or Azure DevOps.
Preferred Skills:
- Exposure to Generative AI (GenAI), Machine Learning pipelines, Vertex AI, or Azure OpenAI.
- Certification in GenAI technology is a plus.
- Familiarity with security best practices, cloud cost optimization, and monitoring/observability tools (Prometheus, Grafana, Google Cloud Monitoring, Azure Monitor).
Location-Bengaluru,Pune,Gurugram,Noida
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