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Country/Region:  IN
Requisition ID:  37467
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - NOIDA- BIRLASOFT OFFICE

Title:  Cloudops

Description: 

Area(s) of responsibility

Key Responsibilities

1. Cloud Platform Operations

  • Manage and optimize Azure workloads—ADLS, VNets, Key Vault, ADF, Synapse, Fabric, Databricks.
  • Configure and maintain Databricks clusters, jobs, DLT pipelines, Delta Lake storage, and Unity Catalog policies.
  • Operationalize Fabric Lakehouses, Pipelines, Warehouses, and Semantic Models for production workloads.
  • Ensure robust platform governance across environments (DEV–QA–UAT–PROD).

2. Infrastructure‑as‑Code & CI/CD

  • Build and maintain Terraform/Bicep templates for environment provisioning and configuration.
  • Develop end-to-end CI/CD pipelines for Databricks, Fabric, and Azure components (ADO/GitHub).
  • Automate deployment of notebooks, workflows, access policies, networking components, and Fabric artifacts.
  • Enforce version control, release governance, and quality gates.

3. FinOps, Cost Management & Capacity Planning

  • Implement FinOps dashboards, alerts, budgets, and spend governance practices.
  • Perform Databricks and Fabric cost optimization—cluster sizing, autoscaling, idle management, job tuning.
  • Conduct capacity planning for compute, storage, Fabric engines, and Databricks workloads.
  • Develop cost-saving recommendations and automated consumption monitoring.

4. Environment Management, Security & Governance

  • Provision and manage Azure data environments with consistent policies and naming standards.
  • Configure RBAC, ACLs, Unity Catalog grants, service principals, network security, Managed Identities.
  • Implement governance standards for data access, lineage, audit logging, compliance, and risk mitigation.
  • Ensure secure connectivity using Private Endpoints, VNET integration, and enterprise IAM controls.

5. Monitoring, Observability & Platform Reliability (SRE)

  • Implement monitoring and alerting using Azure Monitor, Log Analytics, Databricks Metrics, Fabric Admin APIs.
  • Build runbooks, dashboards, and automated remediation workflows for platform reliability.
  • Conduct performance tuning of data workloads, Fabric pipelines, Databricks jobs, and storage layers.
  • Lead incident management, root‑cause analysis, and environment stabilization efforts.

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