Network Monitoring, Telemetry, Platform Engineer

Quantum Technologies LLC; Pittsburgh (Allegheny County); On-site; USD 140,000 - 200,000; Full time

Job summary

Quantum Technologies. LLC is seeking a hands-on Telemetry/Observability Engineer to design and run end-to-end telemetry architectures in a production environment. You will implement real-time data pipelines with Kafka, build powerful Splunk/ELK dashboards, and onboard new services into Netscout ngGeniusOne.

Collaboration with Operations/SRE is essential for robust incident response and RCA. The role emphasizes 표robust operational troubleshooting, data-driven alerting, and advancing AIOps/MLOps

Qualifications

• Hands-on experience with SNMP traps and polling and EMS/NMS integration.
• Strong understanding of telemetry architecture and end-to-end data flows.
• Proficiency with Apache Kafka, real-time streaming pipelines, and time-series data stores.
• Experience with Splunk/ELK dashboards, alerts, and correlation logic.

Responsibilities

• Design and evolve end-to-end telemetry architecture and data models.
• Build and optimize real-time streaming pipelines using Kafka.
• Develop Splunk/ELK queries, dashboards, and alerting.
• Onboard services and applications into Netscout ngGeniusOne.
• Lead complex production troubleshooting with SRE teams.
• Translate telemetry into actionable insights and alerts.
• Advance AIOps/MLOps use cases and automate remediation.
• Analyze telemetry with SQL and Python to improve efficiency.
• Define KPIs to measure observability and incident response.

Skills

SNMP traps

SNMP polling

EMS/NMS integration

Netscout ngGeniusOne

Kafka streaming

Splunk/ELK

Python scripting

SQL

AIOps/MLOps

Time-series databases

Tools

Kafka

Splunk

ELK Stack

Netscout

Python

SQL

Job description

Location: Pittsburgh, PA

Duration: 24Months+ Extension

Domain Exposure: Retail

Work Authorization:

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.