Realtime Telemetry & Observability Platform Engineer

Valiant Technologies LLC; Pittsburgh (Allegheny County); On-site; USD 130,000 - 180,000; Full time

Job summary

Valiant Technologies LLC in Pittsburgh, PA is seeking a hands-on Telemetry and Observability engineer. You will design end-to-end telemetry, implement real-time pipelines with Apache Kafka, and develop Splunk/ELK dashboards to monitor services.

Experience with Netscout nGeniusOne, SNMP traps/polling, and collaboration with Operations/SRE teams is required. Additional AI/ML experience and executive-level presentation skills are a plus.

Qualifications

• Hands-on experience with SNMP traps and polling; EMS/NMS integration.
• Production operations and troubleshooting with strong root cause analysis.
• Experience with AIOps/MLOps concepts and alert automation.

Responsibilities

• Design and evolve end-to-end telemetry architecture, including SNMP traps and EMS/NMS integration.
• Build and optimize real-time streaming pipelines with Apache Kafka.
• Develop Splunk/ELK queries, dashboards, and alerting for real-time monitoring.
• Onboard new services and technology verticals into Netscout nGeniusOne.
• Lead production troubleshooting and incident resolution with Operations/SRE teams.
• Translate telemetry data into actionable alerts and insights.
• Advance AIOps/MLOps use cases such as anomaly detection and auto-remediation.
• Use SQL and time-series databases to analyze telemetry data and automate workflows.
• Define KPIs to evaluate observability improvements and incident response.
• Present solutions to senior stakeholders including VP-level audiences.

Tools

Apache Kafka

Splunk/ELK

Netscout nGeniusOne

SQL

Time-series databases

Python scripting

Job description

Valiant Technologies LLC in Pittsburgh, PA is seeking a hands-on Telemetry and Observability engineer. You will design end-to-end telemetry, implement real-time pipelines with Apache Kafka, and develop Splunk/ELK dashboards to monitor services.

Experience with Netscout nGeniusOne, SNMP traps/polling, and collaboration with Operations/SRE teams is required. Additional AI/ML experience and executive-level presentation skills are a plus.