oracle
Application Performance Management Implementation Migration Upgrade Enhancement
Zensar
Pune, IND
Senior · 6+ years experience
Onsite
Discovered 3 days ago
awsazurebashcloudwatchdatadogdynatrace
Key Skills for This Role
awsazurebashcloudwatchdatadogdynatrace
Full Job Posting
Qualifications
- 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.
- 3-5 years of experience as an Observability Engineer, Monitoring Engineer, SRE, DevOps Engineer, or Platform Engineer supporting production environments.
- 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.
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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.
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