Job Description
World Wide Technology (WWT) , a global technology integrator and supply chain solutions provider. WWT employs more than 10,000 people worldwide and operates in more than 2 million square feet of state-of-the-art warehousing, distribution, and integration space strategically located worldwide. WWT ranked on Glassdoor's Best Places to Work & on Fortune's 100 Best Companies to Work For list for the 13th consecutive year! We are number 9 on India’s Great Place to Work for Mid-size Companies, 2025
World Wide Technology Holding Co, LLC. (WWT) has an opportunity available for a Sr. Observability Engineer role with competitive pay depending on your experience and current salary. Please respond with an updated resume and the required details at the bottom of the email.
Position: Sr. Observability Engineer
Duration: 12 months for phase 1, highly likely extension for 12 months phase 2.
Must Have:
Looking for an expert in the Logic Monitor platform 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 Logic Monitor 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 Logic Monitor 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 (Service Now), and event management tools (Pager Duty, Slack, Big Panda).
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 Logic Monitor 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, Power Shell, 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
Logic Monitor 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 (Service Now, Pager Duty, Big Panda).
Telemetry protocols (SNMP, syslog, Net Flow, 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. Required Qualifications
5–10 years of experience in network monitoring, observability, or infrastructure engineering roles.
Hands-on experience with Logic Monitor, Splunk, Thousand Eyes, Datadog, Dynatrace, Cisco DNAC, and related platforms.
Scripting and automation experience (Python, Power Shell, REST APIs).
World Wide Technology Holding Co, LLC. (WWT) has an opportunity available for a Sr. Observability Engineer role with competitive pay depending on your experience and current salary. Please respond with an updated resume and the required details at the bottom of the email.
Position: Sr. Observability Engineer
Duration: 12 months for phase 1, highly likely extension for 12 months phase 2.
Must Have:
Looking for an expert in the Logic Monitor platform 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 Logic Monitor 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 Logic Monitor 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 (Service Now), and event management tools (Pager Duty, Slack, Big Panda).
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 Logic Monitor 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, Power Shell, 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
Logic Monitor 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 (Service Now, Pager Duty, Big Panda).
Telemetry protocols (SNMP, syslog, Net Flow, 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. Required Qualifications
5–10 years of experience in network monitoring, observability, or infrastructure engineering roles.
Hands-on experience with Logic Monitor, Splunk, Thousand Eyes, Datadog, Dynatrace, Cisco DNAC, and related platforms.
Scripting and automation experience (Python, Power Shell, REST APIs).
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