Telemetry & AIOps ML Engineer (Kafka/Splunk)

Ethereum Technologies; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies seeks a telemetry architecture lead to design end-to-end data flows, SNMP/traps polling, and EMS/NMS integration. You will build and optimize streaming pipelines with Kafka and time-series databases, ensuring data quality and reliability for real-time insights.

Responsibilities include crafting Splunk/ELK queries and dashboards, leading production troubleshooting with SRE, and advancing AIOps/MLOps initiatives with measurable KPIs.

Qualifications

• Must-have: strong experience with SNMP traps, polling, and EMS/NMS.
• Solid understanding of technical architecture and data flows.
• Expertise in Kafka and streaming data.
• Proficiency in optimized Splunk/ELK queries.
• Experience with NetScout nGeniusOne, including dashboard creation and support.
• Ability to onboard new services and verticals to NetScout.
• Strong production troubleshooting and operations experience.
• Ability to translate data into actionable telemetry and alerts.
• Working knowledge of AIOps/MLOps concepts.
• Experience with SQL and time-series databases.
• Proficiency in Python scripting and automation.

Responsibilities

• Define and evolve telemetry architecture, including SNMP traps/polling, EMS/NMS integration, data models, and end-to-end data flows.
• Build and maintain streaming pipelines using Kafka and time-series databases, ensuring data quality, performance, and reliability.
• Develop optimized Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time insights.
• Lead production troubleshooting and collaborate with Operations/SRE teams on incident resolution and runbook improvements.
• Advance AIOps/MLOps use cases, including anomaly detection, noise reduction, and auto-remediation with measurable KPIs.

Skills

SNMP traps

EMS/NMS integration

Kafka streaming

Splunk/ELK

NetScout nGeniusOne

SQL

Python scripting

Time-series databases

AIOps/MLOps concepts

Data modeling

Tools

Kafka

Splunk

ELK

NetScout nGeniusOne

Time-series databases

Job description

Ethereum Technologies seeks a telemetry architecture lead to design end-to-end data flows, SNMP/traps polling, and EMS/NMS integration. You will build and optimize streaming pipelines with Kafka and time-series databases, ensuring data quality and reliability for real-time insights.

Responsibilities include crafting Splunk/ELK queries and dashboards, leading production troubleshooting with SRE, and advancing AIOps/MLOps initiatives with measurable KPIs.