AI/ML Engineer

Valiant Technologies LLC; Denver (CO); On-site; USD 180,000 - 240,000; Full time

Job summary

Valiant Technologies LLC is seeking a senior Telemetry Architect to define and evolve our telemetry architecture, including SNMP traps, EMS/NMS integration, data models, and end-to-end data flows. You will build and maintain streaming pipelines with Kafka and time-series databases, ensuring data quality, performance, and reliability.

The role requires crafting optimized Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time insights, and leading production troubleshooting

Qualifications

• Must have extensive experience with SNMP traps, polling, and EMS/NMS.
• Experience designing and evolving telemetry architectures and end-to-end data flows.
• Strong background in building streaming pipelines using Kafka and time-series databases.
• Proficient in writing optimized Splunk/ELK queries, dashboards, alerts, and correlation logic for real-time insights.
• Experience with NetScout nGeniusOne, including dashboard creation and ongoing support.
• Ability to onboard new services/verticals to NetScout.
• Proven production troubleshooting and collaboration with Operations/SRE teams.
• Strong knowledge of AIOps/MLOps concepts, including anomaly detection and auto-remediation.
• Proficient in SQL and working with time-series databases.
• Proficient 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 & polling

EMS/NMS architecture

Kafka streaming

Splunk/ELK queries

SQL

Time-series databases

Python scripting

AIOps/MLOps concepts

Incident troubleshooting

Telemetry & alerts translation

Data flows & telemetry

Tools

NetScout nGeniusOne

Kafka

Job description

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.

Must-Have Skills :

• 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.

Nice-to-Have Skills :

• Understanding of video and internet delivery domains.
• Hands-on AI/ML experience.
• Executive-level presentation skills, including presenting to VP-level audiences.

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.