Real-Time Telemetry & Observability Engineer

Ethereum Technologies; Pittsburgh (Allegheny County); On-site; USD 110,000 - 170,000; Full time

Job summary

Ethereum Technologies in Pittsburgh, PA seeks a seasoned telemetry and observability engineer to design end-to-end telemetry architectures, deploy real-time streaming pipelines with Apache Kafka, and optimize Splunk/ELK dashboards for real-time monitoring. The role emphasizes collaboration with Operations/SRE, incident resolution, and executive-ready communication.

Candidates should demonstrate production troubleshooting, data-flow mastery, and hands-on experience with SNMP/EMS/NMS, time‑series

Qualifications

• Strong hands-on experience with SNMP traps, SNMP polling, and EMS/NMS integration.
• Solid understanding of telemetry architecture, data models, integrations, and end-to-end data flows.
• Hands-on expertise in Apache Kafka and real-time streaming pipelines.
• Proficiency in Splunk and/or ELK Stack, including optimized queries, dashboards, alerts, and event correlation.
• Practical experience with Netscout nGeniusOne, including dashboard creation, configuration, and support.
• Proven ability to onboard new services and technology verticals into Netscout.
• Exceptional production troubleshooting, operations, incident management, and root cause analysis skills.
• Ability to interpret telemetry data into actionable alerts and monitoring insights.

Responsibilities

• Design, implement, and evolve end-to-end telemetry architecture, including SNMP traps, SNMP polling, EMS/NMS integration, data models, and end-to-end data flows.
• Build, operate, and optimize real-time streaming pipelines using Apache Kafka and integrate telemetry sources with analytics platforms and time-series data stores.
• Develop and optimize Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time monitoring and observability.
• Create, configure, and support dashboards in Netscout nGeniusOne and onboard new services, applications, and technology verticals into the platform.
• Lead complex production troubleshooting, root cause analysis, and incident resolution in collaboration with Operations and SRE teams.
• Translate telemetry data into actionable insights, meaningful alerts, and improved operational visibility.
• Develop and improve operational runbooks, monitoring coverage, alert quality, and incident response processes.
• Advance AIOps/MLOps use cases, including anomaly detection, alert noise reduction, event correlation, intelligent incident identification, and auto-remediation.
• Use SQL, time-series databases, and Python scripting to analyze telemetry data, automate workflows, and improve operational efficiency.
• Define and track measurable KPIs to evaluate observability improvements, incident response, and AIOps effectiveness.
• Collaborate with engineering, operations, and leadership teams to communicate technical findings to senior stakeholders.

Skills

SNMP traps

SNMP polling

EMS/NMS integration

AIOps/MLOps concepts

Apache Kafka

Splunk/ELK dashboards

Python scripting

SQL

Time-series databases

Root cause analysis

Operations/SRE collaboration

Dashboarding

Tools

Netscout nGeniusOne

Splunk/ELK

Job description

Ethereum Technologies in Pittsburgh, PA seeks a seasoned telemetry and observability engineer to design end-to-end telemetry architectures, deploy real-time streaming pipelines with Apache Kafka, and optimize Splunk/ELK dashboards for real-time monitoring. The role emphasizes collaboration with Operations/SRE, incident resolution, and executive-ready communication.

Candidates should demonstrate production troubleshooting, data-flow mastery, and hands-on experience with SNMP/EMS/NMS, time‑series