Description

Architect and maintain multi-cloud infrastructure for enterprise data platforms, AI workloads, and analytics across Azure and Google Cloud Platform.

This role is on-site.

Responsibilities

• Design, implement, and support enterprise cloud solutions across Azure and GCP environments.
• Develop monitoring, logging, and alerting solutions using Azure Monitor, Log Analytics, and GCP Cloud Monitoring.
• Administer and troubleshoot Informatica Cloud (IICS), Secure Agents, APIs, and integration frameworks.
• Ensure security, compliance, audit logging, and least-privilege access controls across cloud environments.
• Provide Tier 2 and Tier 3 production support for platform stability and operational incidents.

Required Skills

• 8+ years supporting multi-cloud environments (Azure, GCP).
• 8+ years with enterprise AI and cloud-based data platforms.
• Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and enterprise logging frameworks.
• Strong expertise with Logstash for log ingestion, transformation, and monitoring.
• Hands-on experience with Blob Storage, Data Lakes, and enterprise storage platforms.
• Experience supporting enterprise data pipelines, analytics platforms, and cloud-based data ecosystems.
• Expertise with Informatica Cloud (IICS), Secure Agents, APIs, and integration patterns.
• Strong knowledge of cloud security, IAM, network security, compliance, and audit logging.

Preferred Skills

• Experience building and administering Tableau Cloud environments.
• Experience integrating geospatial platforms and cloud-based data solutions.
• Knowledge of Python, Bash, automation frameworks, serverless technologies, and CI/CD pipelines.

Key Skills

Education

Any Graduate