Job Summary

The Sr. Observability
Engineer is responsible for designing, deploying, and optimizing client’s
enterprise observability ecosystem. This role delivers hands-on implementation
and consulting expertise, focusing on LogicMonitor and modern observability practices
to drive actionable insights, predictive analytics, and operational excellence
across infrastructure, network, and application layers.

Key Responsibilities

• 
  Deploy, configure, and optimize LogicMonitor for
  enterprise-scale observability.
• 
  Design and build custom dashboards for actionable
  insights and performance monitoring.
• 
  Implement and manage data analytics workflows,
  including advanced scripting in Python for automation and reporting.
• 
  Integrate and manage data pipelines leveraging Kafka
  and related streaming technologies.
• 
  Ensure seamless data flow into Grafana for
  visualization and monitoring.
• 
  Develop and maintain integrations between
  observability, ITSM (ServiceNow), and event management tools (PagerDuty,
  Slack, BigPanda).
• 
  Standardize alert thresholds, escalation paths, and
  telemetry mappings across global regions.
• 
  Define and maintain event, alert, and rule logic to
  ensure accurate correlation and minimal noise.
• 
  Manage data ingestion pipelines from SNMP, syslog,
  APIs, and third-party sources into LogicMonitor and downstream analytics
  systems.
• 
  Advise on and implement AI-driven observability tools,
  including Amazon Bedrock, to enhance predictive analytics and anomaly
  detection.
• 
  Partner with network, server, and application teams to
  validate data flows, performance metrics, and dependency mapping.
• 
  Automate configuration and onboarding processes via API
  and scripting (Python, PowerShell, REST).
• 
  Support incident and problem management teams by
  correlating events across multiple tools to accelerate root cause
  analysis.
• 
  Document integrations, processes, and governance models
  for sustained operational excellence.
• 
  Serve as technical SME supporting observability tool
  upgrades, testing, and cross-platform enhancements.
• 
  Collaborate with stakeholders to align monitoring
  strategies with business objectives.

Core Expertise &
Skills

• 
  LogicMonitor platform deployment, configuration, and
  optimization.
• 
  Deep understanding of observability frameworks, best
  practices, and enterprise monitoring.
• 
  Python scripting for data analytics, automation, and
  advanced reporting.
• 
  Kafka-based data streaming and integration.
• 
  Grafana dashboarding and visualization.
• 
  Experience with AI platforms and emerging observability
  technologies, including Amazon Bedrock.
• 
  Familiarity with ITSM and event management systems
  (ServiceNow, PagerDuty, BigPanda).
• 
  Telemetry protocols (SNMP, syslog, NetFlow, APIs) and
  data flow architecture.
• 
  Strong understanding of alerting, correlation logic,
  and performance baselining.
• 
  Excellent analytical, documentation, and communication
  skills; ability to work across engineering and operations teams.

• 
  5–10
  years of experience in network monitoring, observability, or
  infrastructure engineering roles.
• 
  Hands-on experience with LogicMonitor, Splunk,
  ThousandEyes, Datadog, Dynatrace, Cisco DNAC, and related platforms.
• 
  Scripting and automation experience (Python,
  PowerShell, REST APIs)
• 
  Looking for an expert in the Logic Monitor platform
• 
  Customer team is decommissioning 4 platforms into
  LogicMonitor

Location: On-Site 3
days/week Orlando, FL preferred

Duration: 12+ month
extendable contract

Required Qualifications