Network Monitoring, Telemetry, Platform Engineer

Ethereum Technologies LLC; 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

Location:

Pittsburgh, PA

Duration:

24Months+ Extension

Domain Exposure:

Retail

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description

Look for candidates with strong hands‑on experience in Telemetry, Observability, and AIOps, particularly SNMP traps and polling, EMS/NMS integration, Netscout nGeniusOne dashboard creation and service onboarding, Apache Kafka streaming pipelines, and Splunk/ELK queries, dashboards, and alerting. Candidates should have a solid understanding of technical architecture and end‑to‑end data flows, along with SQL, time‑series databases, Python scripting, and working knowledge of AIOps/MLOps concepts such as anomaly detection, alert noise reduction, and auto‑remediation. Prioritize professionals with extensive production operations and troubleshooting experience, strong root cause analysis skills, and experience collaborating with Operations/SRE teams. Exposure to video and internet delivery domains, hands‑on AI/ML experience, and executive‑level presentation skills are additional advantages. Netscout nGeniusOne, core telemetry expertise, and production troubleshooting experience are key screening criteria.

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 and present solutions to senior stakeholders, including VP-level audiences.

Required Skills

• Strong hands‑on experience with SNMP traps, SNMP polling, and EMS/NMS integration.
• Solid understanding of technical architecture, telemetry architecture, data models, integrations, and end‑to‑end data flows.
• Hands‑on expertise in Apache Kafka and real‑time streaming data 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, applications, and technology verticals into Netscout.
• Exceptional production troubleshooting, operations, incident management, and root cause analysis skills.
• Ability to interpret telemetry data and convert it into actionable alerts, monitoring insights, and operational improvements.
• Working knowledge of AIOps/MLOps concepts, including anomaly detection, alert noise reduction, and automation.
• Experience with SQL and time‑series databases for telemetry storage, querying, and analysis.
• Hands‑on proficiency in Python scripting and automation.
• Experience working with Operations and SRE teams on production incidents, service reliability, and runbook improvements.

Preferred Skills

• Understanding of video delivery, internet delivery, and related network or service performance domains.
• Hands‑on AI/ML experience, particularly in anomaly detection, event correlation, predictive insights, and intelligent operations.
• Strong executive communication and presentation skills, including the ability to present technical solutions, operational metrics, and recommendations to VP‑level stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.