Description

• Design, implement, and manage secure, scalable cloud platforms across AWS, Azure, and GCP.
• Build and maintain reusable infrastructure modules and landing zones using Terraform and Infrastructure as Code principles.
• Develop and automate provisioning of cloud resources, networking, storage, compute, and platform services.
• Implement multi-environment deployment strategies (Dev, Test, Stage, Production) with standardized governance controls.
• DevOps & Automation
• Develop and maintain CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, and related tools.
• Automate infrastructure deployment, configuration management, and operational processes using Terraform, Ansible, PowerShell, and Python.
• Enable continuous integration, continuous deployment, and automated validation for cloud platforms.
• Platform Operations & Reliability
• Implement monitoring, logging, alerting, and observability solutions using Datadog, Dynatrace, CloudWatch, CloudTrail, and native cloud services.
• Create operational dashboards, automated alerts, runbooks, and health monitoring frameworks.
• Drive platform reliability, performance optimization, and operational excellence initiatives.
• Cloud Governance & Security
• Implement cloud governance frameworks, IAM policies, role-based access controls, and security best practices.
• Enforce resource tagging, compliance standards, and audit processes across cloud environments.
• Partner with security teams to ensure adherence to organizational policies and regulatory requirements.
• FinOps & Cost Optimization
• Drive cloud cost management initiatives through budgeting, forecasting, reporting, and optimization programs.
• Implement chargeback/showback mechanisms and cost allocation frameworks.
• Identify cost-saving opportunities through rightsizing, reserved capacity planning, workload optimization, and governance controls.
• Build executive dashboards and reporting solutions for cloud financial management.
• Data & AI Platform Enablement
• Support cloud data platforms including Databricks, Snowflake, BigQuery, Airflow, and Azure Data Factory.
• Enable MLOps and DataOps capabilities through automation, CI/CD, infrastructure provisioning, and governance controls.
• Collaborate with data engineering and AI teams to deploy secure and scalable analytics platforms.

Desired Certifications
• Google Cloud Professional Cloud DevOps Engineer
• Google Cloud Associate Cloud Engineer
• AWS SysOps Administrator Associate
• AWS Cloud Practitioner
• HashiCorp Terraform Associate
• FinOps Certified Practitioner

Key Skills

Education

BTECH/MTECH