Observability Engineer
Zensar
Observability Engineer
Zensar
Global IT services for digital transformation
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:
1. Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
2. Infrastructure and Application Monitoring fundamentals
3. Dashboard creation and visualization using Grafana and Datadog
4. Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
5. Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
6. Alert creation, tuning, and notification management
7. Basic APM (Application Performance Monitoring) concepts
8. Linux administration and troubleshooting
9. Cloud monitoring services such as AWS CloudWatch and Azure Monitor
10. 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:
1. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
2. OpenSearch, ELK Stack, and centralized logging architectures
3. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
4. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
5. Alerting strategy development, alert tuning, noise reduction, and escalation management
6. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
7. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
8. Log analytics, correlation, and troubleshooting techniques
9. SLI, SLO, SLA definitions and service health reporting
10. Automation of monitoring, alert management, and operational workflows
11. Incident investigation, root cause analysis, and platform performance troubleshooting
12. 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:
1. Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
2. Infrastructure and Application Monitoring fundamentals
3. Dashboard creation and visualization using Grafana and Datadog
4. Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
5. Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
6. Alert creation, tuning, and notification management
7. Basic APM (Application Performance Monitoring) concepts
8. Linux administration and troubleshooting
9. Cloud monitoring services such as AWS CloudWatch and Azure Monitor
10. 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:
1. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
2. OpenSearch, ELK Stack, and centralized logging architectures
3. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
4. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
5. Alerting strategy development, alert tuning, noise reduction, and escalation management
6. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
7. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
8. Log analytics, correlation, and troubleshooting techniques
9. SLI, SLO, SLA definitions and service health reporting
10. Automation of monitoring, alert management, and operational workflows
11. Incident investigation, root cause analysis, and platform performance troubleshooting
12. 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:
1. Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
2. Infrastructure and Application Monitoring fundamentals
3. Dashboard creation and visualization using Grafana and Datadog
4. Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
5. Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
6. Alert creation, tuning, and notification management
7. Basic APM (Application Performance Monitoring) concepts
8. Linux administration and troubleshooting
9. Cloud monitoring services such as AWS CloudWatch and Azure Monitor
10. 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:
1. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
2. OpenSearch, ELK Stack, and centralized logging architectures
3. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
4. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
5. Alerting strategy development, alert tuning, noise reduction, and escalation management
6. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
7. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
8. Log analytics, correlation, and troubleshooting techniques
9. SLI, SLO, SLA definitions and service health reporting
10. Automation of monitoring, alert management, and operational workflows
11. Incident investigation, root cause analysis, and platform performance troubleshooting
12. 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.
Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.
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