Knowledge of GenAI and Enterprise AI platforms like Gemini and Vertex AI.
Proficient in Azure Monitor and GCP Cloud Monitoring for tracking metrics.
Experience with Logstash for log ingestion and monitoring integration.
Ability to design alerting mechanisms using Twilio for operational reliability.
Responsibilities
Oversee cloud computing strategies and team activities.
Design and implement cloud infrastructure with SaaS, PaaS, and IaaS models.
Support a multi-cloud environment with a focus on data and AI integration.
Collaborate with vendors for system reliability and performance monitoring.
Plan and maintain cloud platforms and services in production operations.
Benefits
Opportunity to work with cutting-edge cloud technologies.
Engagement with a regulated multi-cloud enterprise environment.
Collaborative work with data and AI specialists across teams.
Full Job Description
Position Overview:
Accountable for the architectural direction of cloud computing initiatives and cloud brokering team activities across IT and the business
Designs and implements cloud infrastructure and applications using standard cloud concepts, including SaaS, PaaS, and IaaS
Supports a regulated multi-cloud enterprise environment, partnering on data/AI platform expertise, vendor coordination, monitoring, and system reliability
Plans, engineers, and maintains cloud platforms and supporting services in production operations
Requirements:
Multi-Cloud Platform Expertise (Azure + GCP)
GenAI & Enterprise AI Platform Knowledge (Gemini, Vertex AI)
Expertise in Azure Monitor, Log Analytics, GCP Cloud Monitoring, and logging frameworks to track performance, reliability, and usage
Experience using Logstash for log ingestion, transformation, and integration with Azure Log Analytics for proactive monitoring and alerting
Ability to design alerting solutions using Twilio (SMS/voice) for ETL failures and operational notifications
