Cloud Engineer

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