
Observability Engineer
1 week ago
Role Overview
We are seeking a highly skilled
Observability Engineer
with hands-on experience in
Cribl Stream
and
Dynatrace
to design, implement, and optimize enterprise observability platforms. This role is responsible for ensuring that telemetry data—logs, metrics, traces, and events—is efficiently collected, transformed, enriched, and visualized to improve performance monitoring, troubleshooting, and proactive issue detection across cloud and on-prem environments.
Observability Platform Engineering
- Design, deploy, and maintain
Cribl Stream pipelines
for data routing, transformation, and enrichment across multiple log sources. - Integrate observability pipelines with tools such as
Splunk, Dynatrace, Elastic, Prometheus, and Azure Monitor
. - Develop reusable Cribl packs, routes, and knowledge objects to optimize data flow and control ingestion costs.
- Build and maintain
Dynatrace monitoring configurations
, including custom dashboards, management zones, tagging rules, and anomaly detection policies. - Implement
synthetic monitoring, RUM (Real User Monitoring), and log monitoring
for distributed applications.
Data & Integration
- Configure log and metric ingestion from hybrid environments (cloud, containers, network, applications, endpoints).
- Work with
APIs, webhooks, and forwarders
for custom integrations between Cribl, Dynatrace, and third-party tools. - Collaborate with infrastructure, DevOps, and security teams to enhance data observability end-to-end.
Automation & Scripting
- Automate configuration deployments using
Terraform, Ansible, or Dynatrace Configuration-as-Code
. - Write scripts in
Python / Bash / PowerShell
for observability workflows, custom metrics, and data validations.
Performance Monitoring & Analysis
- Analyze service performance, latency, and resource utilization to identify bottlenecks.
- Create
actionable insights and alerts
through custom Dynatrace dashboards and Cribl data enrichment logic. - Participate in root cause analysis (RCA) and incident reviews using observability data.
Required Skills & Experience:
- Strong hands-on experience with
Cribl Stream
and
Dynatrace SaaS/Managed
. - Deep understanding of
observability concepts (logs, metrics, traces)
and telemetry pipelines. - Familiarity with
log management systems (Splunk, Elastic, Graylog)
and
metric platforms (Prometheus, Grafana)
. - Knowledge of
APM (Application Performance Monitoring)
,
synthetic testing
, and
infrastructure monitoring
. - Experience in
data onboarding, routing, filtering, masking, and transformation
. - Cloud platform exposure:
AWS, Azure, or GCP
. - Basic networking knowledge (HTTP, DNS, TCP/IP) and OS-level performance metrics.
- Proficiency in scripting (Python, Bash, PowerShell).
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