IT Observability Developer, AI & Visualization (Hybrid - NJ or TX)

Merck · Rahway, NJ

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IT & SoftwareFull-time$87k–$137kCompany career page

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Role summary

Merck seeks a Network Data Analyst to design and operate visual analytics platforms that transform network telemetry into actionable insights. The role integrates AI agents and AIOps capabilities into dashboards and automation workflows to help stakeholders detect and resolve infrastructure issues proactively.

Where this listing comes from

This listing was compiled by RoleLantern from the employer's publicly available posting on Workday, captured and rephrased by RoleLantern using automated (AI) tools on 2026-10-02 (originally posted 2026-10-02). It was not submitted or confirmed by the employer through RoleLantern. Details may be inaccurate, incomplete, outdated, or no longer available; please confirm with the employer's official posting before applying.

What they're looking for

Exposure to large global network infrastructures and monitoring tools like Grafana, Dynatrace, or LogicMonitor
2+ years building dashboards in BI/observability platforms such as Spotfire, Power BI, or Grafana
Practical experience with Large Language Models, prompt engineering, or RAG frameworks
Proficiency in JavaScript (React/Vue), Python (Django/Flask), Java, or similar programming languages
Proven ability to create role-based visualizations for executives, product owners, and engineers
Experience embedding visualizations in web applications and building reusable components
High school diploma required

What you'll be doing

Design end-to-end telemetry analytics dashboards combining network flow, metrics, logs, and business context
Identify, normalize, and integrate network data sources into real-time pipelines and visualization layers
Develop AI agents and AIOps components to detect anomalies, infer root causes, and prioritize incidents
Build reusable visualization components and libraries for consistency across network product lines
Contribute to telemetry data quality improvement and performance measurement for critical components

Privacy & handoff

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Date posted1 day ago

Last source check1 day ago

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