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8.0 - 12.0 years
4 - 9 Lacs
Pune
Remote
Role Overview: We're seeking a senior Azure Infrastructure Engineer with 812 years of deep hands-on experience in building, deploying, and operating cloud-native infrastructure. You’ll be responsible for core components like AKS, Terraform, Docker, Helm, KEDA, HPA, Istio/service mesh, CI/CD pipelines, Azure networking, and disaster recovery. Key Responsibilities: Operate and troubleshoot production AKS clusters Build and deploy workloads using Docker and Helm Automate infra provisioning with Terraform Configure autoscaling using KEDA and HPA Manage Istio or equivalent service mesh (ingress, routing, mTLS) Maintain robust CI/CD pipelines (Azure DevOps/GitHub Actions) Handle complex Azure networking (VNet, NSG, DNS, LB, peering) Support and execute disaster recovery procedures Required Skills: 8–12 years in infrastructure/DevOps roles with deep expertise in: Azure, AKS, Docker, Terraform, Helm KEDA, HPA, Istio/service mesh CI/CD pipelines, Linux, Bash/PowerShell scripting Azure networking and disaster recovery
Posted 1 week ago
0.0 - 3.0 years
2 - 5 Lacs
Bengaluru
Work from Office
Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary.
Posted 3 weeks ago
- 3 years
2 - 4 Lacs
Bengaluru
Work from Office
Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary.
Posted 1 month ago
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