Observability Engineer

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.