Lead Software Engineer, Cloud Site Reliability (SRE)
Icertis · icertis.com
PuneRemoteLead / Manager
The job in short
Cloud site reliability engineering.
Details
- Found
- 24 d ago · posted 2026-09-23
- Location as listed
- Pune, Maharashtra, India
- Role
- DevOps / SRE / Platform Engineer
- Source
- The company’s own careers site
Full description
Required Skills:
•
7–12 years of experience in CloudOps / SRE / NOC environments (24x7 operations)
•
Strong expertise in Azure Infrastructure (VMs, Networking, Storage)
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Hands-on experience with Azure Kubernetes Service (AKS), Kubernetes, Docker
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Strong experience with monitoring and observability tools (Datadog, Azure Monitor)
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Proven experience in Incident Management / Major Incident Handling, Monthly reporting
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Experience with Infrastructure as Code (Terraform, ARM templates, Helm)
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Scripting skills in PowerShell, Python, or Bash
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Experience with ServiceNow (Incident, Problem, Change modules and dashboards)
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Good understanding of distributed systems and cloud-native architecture
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Excellent communication, leadership, and problem-solving skills
Role Responsibilities:
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Lead 24x7 NOC operations with mandatory rotational shifts ensuring system availability and SLA adherence
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Act as Major Incident Manager (P1/P2 incidents), driving triage, war room coordination, and stakeholder communication
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Implement and enhance observability practices across logs, metrics, and traces
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Work with tools like Datadog and Azure Monitor for monitoring and alerting
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Drive proactive monitoring, alert tuning, anomaly detection, and AIOps initiatives
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Manage Azure infrastructure and AKS clusters, including troubleshooting, scaling, and performance tuning
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Build automation and self-healing workflows using Terraform, ARM, Helm, Power Automate, and scripting
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Collaborate with engineering teams to improve reliability, deployment pipelines, and cloud-native architecture
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Develop dashboards and reports using Power BI and ServiceNow
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Handle Monthly Business reviews and leadership reporting
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Mentor team members and drive process standardization and operational excellence
Preferred Certification:
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Experience in multi-cloud environments (Azure/AWS)
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Exposure to AIOps / predictive monitoring / self-healing systems
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Azure / Datadog / Kubernetes certifications
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