Description :

Your key responsibilities will include :

- Design, implement, and manage cloud infrastructure (Azure)

- 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 :

- 5.5 to 7 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.