Mlops Engineer- Telemetry

Ampstek; Denver (CO); On-site; USD 90,000 - 140,000; Full time

Job summary

Ampstek is seeking a telemetry architect/ops engineer to design and operate end-to-end data flows in a complex monitoring environment in Denver. You will own telemetry architecture, data pipelines, and real-time insights using tools like Netscout nGeniusOne, Kafka, Splunk/ELK, and SQL databases.

You will lead troubleshooting with Operations/SRE, advance AIOps/MLOps use cases, and help onboard new services and verticals to NetScout, driving measurable improvements in reliability and telemetry

Qualifications

• Solid understanding of telemetry architecture and data flows.
• Experience with Netscout nGeniusOne, including dashboards.
• Ability to onboard new services and verticals to NetScout.
• Exceptional troubleshooting and prior operations experience.
• Ability to translate data into actionable telemetry and alerts.
• Working knowledge of AIOps/MLOps concepts.
• SQL and time-series database experience.
• Python scripting and automation.

Responsibilities

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

Skills

Telemetry architecture

Netscout nGeniusOne

Dashboard design

Onboarding services/verticals

Troubleshooting & operations

Telemetry data & alerts

AIOps/MLOps concepts

SQL

Time-series DB

Python scripting

Tools

Kafka

Splunk

ELK

Job description

• Solid understanding of technical architecture & data flows


• Experience with Netscout nGeniusOne, including creating and supporting dashboards


• Ability to onboard new services and verticals to NetScout


• Exceptional troubleshooting and prior operations experience


• Ability to translate data into actionable telemetry and alerts


• Working knowledge of AIOps/MLOps concepts


• SQL and time-series database experience


• Python scripting and automation

Key Responsibilities

• Define and evolve telemetry architecture, including SNMP traps/polling, EMS/NMS integration, data models, and end-to-end data flow


• Build and operate streaming pipelines (Kafka) and time-series data stores, ensuring data quality, performance, and reliability


• Develop optimized Splunk/ELK searches, dashboards, alerts, and correlation logic for real-time insights


• Lead deep production troubleshooting and partner with Operations/SRE teams for incident resolution and runbook improvements


• Advance AIOps/MLOps use cases (anomaly detection, noise reduction, auto-remediation) with measurable KPIs