Application Performance Management Implementation Migration Upgrade Enhancement

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:
11. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
12. OpenSearch, ELK Stack, and centralized logging architectures
13. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
14. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
15. Alerting strategy development, alert tuning, noise reduction, and escalation management
16. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
17. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
18. Log analytics, correlation, and troubleshooting techniques
19. SLI, SLO, SLA definitions and service health reporting
20. Automation of monitoring, alert management, and operational workflows
21. Incident investigation, root cause analysis, and platform performance troubleshooting
22. 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:
23. Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
24. Infrastructure and Application Monitoring fundamentals
25. Dashboard creation and visualization using Grafana and Datadog
26. Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
27. Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
28. Alert creation, tuning, and notification management
29. Basic APM (Application Performance Monitoring) concepts
30. Linux administration and troubleshooting
31. Cloud monitoring services such as AWS CloudWatch and Azure Monitor
32. 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:
33. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
34. OpenSearch, ELK Stack, and centralized logging architectures
35. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
36. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
37. Alerting strategy development, alert tuning, noise reduction, and escalation management
38. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
39. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
40. Log analytics, correlation, and troubleshooting techniques
41. SLI, SLO, SLA definitions and service health reporting
42. Automation of monitoring, alert management, and operational workflows
43. Incident investigation, root cause analysis, and platform performance troubleshooting
44. 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:
45. Monitoring and Alerting tools such as Prometheus, Grafana, Nagios, Datadog, Dynatrace, and Observe
46. Infrastructure and Application Monitoring fundamentals
47. Dashboard creation and visualization using Grafana and Datadog
48. Log aggregation and analysis using OpenSearch, ELK Stack, or similar platforms
49. Kubernetes monitoring including Cluster, Node, Pod, Namespace, and Workload metrics
50. Alert creation, tuning, and notification management
51. Basic APM (Application Performance Monitoring) concepts
52. Linux administration and troubleshooting
53. Cloud monitoring services such as AWS CloudWatch and Azure Monitor
54. 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:
55. Prometheus, Grafana, Datadog, Dynatrace, Nagios, Observe, and enterprise monitoring platforms
56. OpenSearch, ELK Stack, and centralized logging architectures
57. Application Performance Monitoring (APM), Distributed Tracing, and End-to-End Transaction Monitoring
58. Kubernetes observability including EKS, AKS, Cluster Monitoring, Pod Monitoring, and Container Insights
59. Alerting strategy development, alert tuning, noise reduction, and escalation management
60. Dashboard development and operational reporting for Infrastructure, Applications, Databases, and Cloud Services
61. Monitoring integration with AWS, Azure, Kubernetes, Databases, and Middleware platforms
62. Log analytics, correlation, and troubleshooting techniques
63. SLI, SLO, SLA definitions and service health reporting
64. Automation of monitoring, alert management, and operational workflows
65. Incident investigation, root cause analysis, and platform performance troubleshooting
66. 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.