Level1
3-5 years of experience as an Observability Engineer, Monitoring Engineer, SRE, DevOps Engineer, or Platform Engineer supporting production environments.
Hands-on experience with
- Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
- Infrastructure and Application Monitoring fundamentals
- Dashboard creation and visualization using Grafana and Datadog
- Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
- Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
- Alert creation, tuning, and notification management
- Basic APM (Application Performance Monitoring) concepts
- Linux administration and troubleshooting
- Cloud monitoring services such as AWS CloudWatch and Azure Monitor
- Incident response and operational support processes
- Experience troubleshooting monitoring alerts, infrastructure health issues, and application performance problems.
- Experience supporting production environments and participating in on-call rotations.
- Basic scripting skills using Bash, Python, or PowerShell.
- Ability to maintain monitoring documentation, runbooks, and operational dashboards.
Level2
6+ years of experience as an Observability Engineer, SRE, DevOps Engineer, Platform Engineer, or Monitoring SME supporting enterprise production systems.
Proven experience implementing and supporting enterprise observability platforms.
Strong hands-on expertise with
- Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
- OpenSearch, ELK Stack, and centralized logging architectures
- Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
- Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
- Alerting strategy development, alert tuning, noise reduction, and escalation management
- Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
- Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
- Log analytics, correlation, and troubleshooting techniques
- SLI, SLO, SLA definitions and service health reporting
- Automation of monitoring, alert management, and operational workflows
- Incident investigation, root cause analysis, and platform performance troubleshooting
- Monitoring as Code and Infrastructure as Code integration
- Experience configuring proactive alerts for Kubernetes clusters, nodes, pods, storage, networking, and application services.
- Strong understanding of cloud-native architectures, distributed systems, infrastructure monitoring, and application observability.
- Experience developing runbooks, SOPs, service dashboards, and operational standards.
Observability Engineer Role JD
Level1
3-5 years of experience as an Observability Engineer, Monitoring Engineer, SRE, DevOps Engineer, or Platform Engineer supporting production environments.
Hands-on experience with
- Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
- Infrastructure and Application Monitoring fundamentals
- Dashboard creation and visualization using Grafana and Datadog
- Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
- Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
- Alert creation, tuning, and notification management
- Basic APM (Application Performance Monitoring) concepts
- Linux administration and troubleshooting
- Cloud monitoring services such as AWS CloudWatch and Azure Monitor
- Incident response and operational support processes
- Experience troubleshooting monitoring alerts, infrastructure health issues, and application performance problems.
- Experience supporting production environments and participating in on-call rotations.
- Basic scripting skills using Bash, Python, or PowerShell.
- Ability to maintain monitoring documentation, runbooks, and operational dashboards.
Level2
6+ years of experience as an Observability Engineer, SRE, DevOps Engineer, Platform Engineer, or Monitoring SME supporting enterprise production systems.
Proven experience implementing and supporting enterprise observability platforms.
Strong hands-on expertise with
- Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
- OpenSearch, ELK Stack, and centralized logging architectures
- Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
- Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
- Alerting strategy development, alert tuning, noise reduction, and escalation management
- Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
- Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
- Log analytics, correlation, and troubleshooting techniques
- SLI, SLO, SLA definitions and service health reporting
- Automation of monitoring, alert management, and operational workflows
- Incident investigation, root cause analysis, and platform performance troubleshooting
- Monitoring as Code and Infrastructure as Code integration
- Experience configuring proactive alerts for Kubernetes clusters, nodes, pods, storage, networking, and application services.
- Strong understanding of cloud-native architectures, distributed systems, infrastructure monitoring, and application observability.
- Experience developing runbooks, SOPs, service dashboards, and operational standards.
Observability Engineer Role JD
Level1
3-5 years of experience as an Observability Engineer, Monitoring Engineer, SRE, DevOps Engineer, or Platform Engineer supporting production environments.
Hands-on experience with
- Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
- Infrastructure and Application Monitoring fundamentals
- Dashboard creation and visualization using Grafana and Datadog
- Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
- Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
- Alert creation, tuning, and notification management
- Basic APM (Application Performance Monitoring) concepts
- Linux administration and troubleshooting
- Cloud monitoring services such as AWS CloudWatch and Azure Monitor
- Incident response and operational support processes
- Experience troubleshooting monitoring alerts, infrastructure health issues, and application performance problems.
- Experience supporting production environments and participating in on-call rotations.
- Basic scripting skills using Bash, Python, or PowerShell.
- Ability to maintain monitoring documentation, runbooks, and operational dashboards.
Level2
6+ years of experience as an Observability Engineer, SRE, DevOps Engineer, Platform Engineer, or Monitoring SME supporting enterprise production systems.
Proven experience implementing and supporting enterprise observability platforms.
Strong hands-on expertise with
- Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
- OpenSearch, ELK Stack, and centralized logging architectures
- Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
- Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
- Alerting strategy development, alert tuning, noise reduction, and escalation management
- Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
- Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
- Log analytics, correlation, and troubleshooting techniques
- SLI, SLO, SLA definitions and service health reporting
- Automation of monitoring, alert management, and operational workflows
- Incident investigation, root cause analysis, and platform performance troubleshooting
- Monitoring as Code and Infrastructure as Code integration
- Experience configuring proactive alerts for Kubernetes clusters, nodes, pods, storage, networking, and application services.
- Strong understanding of cloud-native architectures, distributed systems, infrastructure monitoring, and application observability.
- Experience developing runbooks, SOPs, service dashboards, and operational standards.
Job description provided by Zensar.
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