AI-Driven Network Observability Engineer

MSD Malaysia; Rahway (NJ); Hybrid; USD 87,000 - 137,000; Full time

Benefits offered by this job

401(k) and comprehensive benefits

Job summary

Merck & Co., Inc. is seeking a Network Data Analyst to design and operate visual analytics for network telemetry. You will integrate agentic AI and AIOps into dashboards to surface timely insights for NCOS stakeholders, enabling proactive issue detection and resolution.

Responsibilities include end-to-end telemetry analytics, real-time data pipelines, and embedding insights into web applications for executives, product leaders, and engineers.

Qualifications

• Experience with large global network infrastructures and observability tools.
• Hands-on with LLMs, prompt engineering, and RAG for analytics.
• Proficiency in BI/visualization platforms and web tech stacks.

Responsibilities

• Design end-to-end telemetry analytics and dashboards.
• Mine and normalize network data sources for real-time pipelines.
• Develop agentic AI and AIOps components to surface recommendations.
• Embed visualizations in web apps for exec and engineer views.
• Create reusable visualization components across product lines.

Skills

LLMs

Prompt engineering

RAG frameworks

PowerBI

Grafana

Grafana Cloud

Spotfire

React/Vue

Python/Django/Flask

Java

SQL

AIOps

Education

HS Diploma

Tools

LogicMonitor

ThousandEyes

BigPanda

Dynatrace

NetBrain

Grafana Cloud

Zscaler ZDX

ServiceNow

Job description

Merck & Co., Inc. is seeking a Network Data Analyst to design and operate visual analytics for network telemetry. You will integrate agentic AI and AIOps into dashboards to surface timely insights for NCOS stakeholders, enabling proactive issue detection and resolution.

Responsibilities include end-to-end telemetry analytics, real-time data pipelines, and embedding insights into web applications for executives, product leaders, and engineers.