Azure Cloud Operations Engineer with 7+ years of experience

Role : Cloud Operations Engineer.

Experience Range: 7+ years

The key skills required are:

- Infrastructure as a Server and Cloud Provisioning

- IAM and DevOps

- Terraform Provisioning

- CI/CD Pipelines

- Infrastructure as Code (IaC)

In this role, you'll make an impact in the following ways:

• Lead support, maintenance, troubleshooting, and optimization of multi cloud platforms—primarily Azure, AWS, with exposure to GCP.
• Deliver advanced support for Azure Kubernetes Service (AKS), VM workloads, networking, identity failures, access issues, service degradation, and platform level incidents.
• Support AI/ML platform operations including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, GCP Vertex AI, and AI model deployment workflows (monitoring, debugging, access, quota management).
• Troubleshoot cloud networking issues: routing, VNet/VPC connectivity, NSG/Firewall blocks, DNS failures, cross region communication.
• Manage cloud identity & access problems including Conditional Access failures, IAM misconfigurations, role/permission issues, token/secret issues, and service principal expirations.
• Support deployment and operational stability of monitoring/logging systems: Azure Monitor, GCP Cloud Logging, Splunk, EventHub integrations.
• Ensure SLA adherence through robust incident management, RCA documentation, problem management, and preventive action planning.
• Collaborate with platform engineering teams on deep technical issues involving Kubernetes, container runtimes, ingress/routing, storage, and multi cloud managed services.
• Build and maintain runbooks, SOPs, support playbooks, alerting frameworks, and automated remediation workflows.
• Onboard new applications into cloud support (network, IAM, monitoring, secrets, service connections, dependencies).
• Partner with Cybersecurity, IAM, AI Governance, Data Platform, and DevOps teams to meet compliance and security requirements.
• Oversee cost alerting, anomaly detection, quota management, and optimization across Azure/AWS/GCP.
• Act as a senior SME ensuring reliability of enterprise cloud, AI platforms, and production environments.
• Contribute to a culture of trust, knowledge sharing, ownership, and continuous improvement.

To be successful in this role, we're seeking the following:

• Bachelor's degree or equivalent
• 10 plus years of experience in Cloud Support, SRE, or Technical Operations roles within enterprise environments.
• Hands-on expertise across Azure (primary), AWS, and GCP—compute, networking, IAM, storage, containers, PaaS.
• Strong experience troubleshooting AKS, container workloads, node pools, ingress, networking, and related components.
• Proficiency in Python for diagnostics, automation, tooling, and API integrations.
• Experience supporting AI/ML platforms:
• Azure OpenAI (quota/throttling/key issues)
• Azure AI Search
• Azure ML model deployment/monitoring
• GCP Vertex AI (endpoint failures, training issues, IAM)
• Experience resolving multi cloud IAM issues (AAD, AWS IAM, GCP IAM).
• Hands-on experience with observability platforms (Azure Monitor, Splunk, GCP Cloud Logging, Prometheus/Grafana).
• Strong knowledge of incident response, RCA documentation, and enterprise support processes.
• Ability to independently diagnose and resolve complex cloud issues.
• Excellent communication and analytical skills; ability to explain technical issues to non technical stakeholders.
• Comfort working in high pressure, global support environments.
• Relevant certifications preferred: AZ 104, AZ 305, AWS SysOps, GCP Associate Engineer.