AIOps Telemetry & Platform Engineer

Machine Learning Technologies, LLC; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC in Pittsburgh, PA, seeks an experienced telemetry and observability specialist to design and evolve end-to-end telemetry architectures, integrate with EMS/NMS, and enable real-time analytics using Kafka, Splunk/ELK, and time-series stores.

You will collaborate with Operations/SRE teams, perform root cause analysis, and advance AIOps/MLOps use cases, including anomaly detection and auto-remediation, while translating telemetry data into actionable insights for

Qualifications

• Strong experience with SNMP traps and polling, EMS/NMS integration, and end-to-end telemetry.
• Expertise in real-time streaming pipelines with Apache Kafka and integration of telemetry sources with analytics platforms.
• Proficient in Splunk/ELK queries, dashboards, alerts, and event correlation.
• Hands-on experience with Netscout nGeniusOne dashboards, configuration, and onboarding of services.
• Proven production troubleshooting, incident management, and root cause analysis skills.
• Ability to translate telemetry data into actionable alerts and monitoring insights.
• Familiarity with AIOps/MLOps concepts like anomaly detection and auto-remediation.
• Experience using SQL and time-series databases for telemetry storage and analysis.
• Strong collaboration with Operations/SRE teams and effective stakeholder communication.

Responsibilities

• Design and evolve end-to-end telemetry architecture including SNMP traps/polling and EMS/NMS integration.
• Build, operate, and optimize real-time streaming pipelines using Apache Kafka.
• Develop and optimize Splunk/ELK queries, dashboards, alerts, and correlation logic.
• Create, configure, and onboard services into Netscout nGeniusOne dashboards.
• Lead complex production troubleshooting and incident resolution with Operations/SRE teams.
• Translate telemetry data into actionable alerts and insights for improved visibility.
• Advance AIOps/MLOps use cases including anomaly detection and auto-remediation.
• Use SQL and time-series databases to analyze telemetry data and automate workflows.
• Define KPIs to measure observability improvements and incident response.

Skills

SNMP traps/polling

EMS/NMS integration

Netscout nGeniusOne

Apache Kafka

Splunk/ELK

SQL

Time-series databases

Python scripting

AIOps/MLOps concepts

Root cause analysis

Operations/SRE collaboration

Telemetry architecture

Dashboarding/alerts

Tools

Netscout nGeniusOne

Apache Kafka

Splunk

ELK Stack

Job description

Machine Learning Technologies, LLC in Pittsburgh, PA, seeks an experienced telemetry and observability specialist to design and evolve end-to-end telemetry architectures, integrate with EMS/NMS, and enable real-time analytics using Kafka, Splunk/ELK, and time-series stores.

You will collaborate with Operations/SRE teams, perform root cause analysis, and advance AIOps/MLOps use cases, including anomaly detection and auto-remediation, while translating telemetry data into actionable insights for