Telemetry & AIOps Engineer (Kafka, Splunk, NMS)

Robotic Technologies Automation; Denver (CO); On-site; USD 150,000 - 210,000; Full time

Job summary

Robotic Technologies Automation is seeking an experienced Telemetry Architect to define and evolve telemetry architecture, integrate EMS/NMS, and build scalable data flows. The role requires strong expertise in SNMP traps, Kafka streaming, and time-series databases, with emphasis on real-time analytics using Splunk/ELK.

You will lead production troubleshooting, partner with SRE for incident resolution, and advance AIOps/MLOps initiatives aimed at reducing noise and enabling auto-remediation with

Qualifications

• Strong experience with SNMP traps, polling, and EMS/NMS.

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

Telemetry arch

SNMP traps

Kafka streaming

Splunk ELK queries

NetScout ngeniusOne

SQL time-series

Python scripting

Incident resolution

AIOps/MLOps

Data flows

Tools

Kafka

Prometheus

Elasticsearch

Job description

Robotic Technologies Automation is seeking an experienced Telemetry Architect to define and evolve telemetry architecture, integrate EMS/NMS, and build scalable data flows. The role requires strong expertise in SNMP traps, Kafka streaming, and time-series databases, with emphasis on real-time analytics using Splunk/ELK.

You will lead production troubleshooting, partner with SRE for incident resolution, and advance AIOps/MLOps initiatives aimed at reducing noise and enabling auto-remediation with