Lead Software Engineer, Cloud Site Reliability (SRE)
Pune · Staff/Principal
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What we know about this role
LOW
Our tracked job listings for Icertis show limited recent activity.
First 72 hours
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Skills required
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Job description
Required Skills:
7–12 years of experience in CloudOps / SRE / NOC environments (24x7 operations)
Strong expertise in Azure Infrastructure (VMs, Networking, Storage)
Hands-on experience with Azure Kubernetes Service (AKS), Kubernetes, Docker
Strong experience with monitoring and observability tools (Datadog, Azure Monitor)
Proven experience in Incident Management / Major Incident Handling, Monthly reporting
Experience with Infrastructure as Code (Terraform, ARM templates, Helm)
Scripting skills in PowerShell, Python, or Bash
Experience with ServiceNow (Incident, Problem, Change modules and dashboards)
Good understanding of distributed systems and cloud-native architecture
Excellent communication, leadership, and problem-solving skills
Role Responsibilities:
Lead 24x7 NOC operations with mandatory rotational shifts ensuring system availability and SLA adherence
Act as Major Incident Manager (P1/P2 incidents), driving triage, war room coordination, and stakeholder communication
Implement and enhance observability practices across logs, metrics, and traces
Work with tools like Datadog and Azure Monitor for monitoring and alerting
Drive proactive monitoring, alert tuning, anomaly detection, and AIOps initiatives
Manage Azure infrastructure and AKS clusters, including troubleshooting, scaling, and performance tuning
Build automation and self-healing workflows using Terraform, ARM, Helm, Power Automate, and scripting
Collaborate with engineering teams to improve reliability, deployment pipelines, and cloud-native architecture
Develop dashboards and reports using Power BI and ServiceNow
Handle Monthly Business reviews and leadership reporting
Mentor team members and drive process standardization and operational excellence
Preferred Certification:
Experience in multi-cloud environments (Azure/AWS)
Exposure to AIOps / predictive monitoring / self-healing systems
Azure / Datadog / Kubernetes certifications
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