Sr. Observability Engineer

Simple Solutions•University, FL

23d•Onsite

About The Position

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.

Requirements

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

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.