Top Skills Required:

1.DataDog

2.Splunk

3. AIOps Platforms

Role Overview

We are seeking an experienced Enterprise Observability Architect to lead enterprise observability initiatives across infrastructure, applications, cloud, and platform services. The candidate will be responsible for defining observability architecture, establishing monitoring standards, implementing Datadog solutions, driving platform governance, and enabling AI-driven operational insights. The role requires strong consulting, architecture, and stakeholder management skills with the ability to lead large-scale observability transformation programs.

Key Responsibilities:

• Define and own enterprise observability architecture, standards, and governance.
• Lead monitoring and observability assessments to identify gaps and improvement opportunities.
• Design and implement scalable Datadog monitoring solutions across infrastructure, applications, databases, middleware, networks, storage, backup, cloud, and collaboration platforms.
• Develop monitoring, alerting, logging, dashboarding, and reporting frameworks.
• Architect and implement Datadog capabilities including Infrastructure Monitoring, APM, Logs, Synthetic Monitoring, RUM, NPM, DBM, and Distributed Tracing.
• Drive observability adoption across hybrid cloud and enterprise platforms.
• Integrate observability solutions with ITSM, AIOps, automation, and AI/GenAI platforms.
• Develop predictive monitoring, anomaly detection, and operational intelligence use cases.
• Optimize monitoring coverage, alert quality, platform performance, and observability costs.
• Provide technical leadership, mentoring, and best practices to engineering and operations teams.

Required Skills:

Experience

10+ years of experience in Enterprise Monitoring and Observability.

6-7+ years of hands-on Datadog implementation and architecture experience.

Experience leading enterprise observability transformation programs.

Technical Skills

Datadog Infrastructure Monitoring

Application Performance Monitoring (APM)

Log Management

Distributed Tracing

Database Monitoring (DBM)

Network Performance Monitoring (NPM)

Real User Monitoring (RUM)

Synthetic Monitoring

Service Catalog & Service Mapping

SLO/SLI Design and Implementation

OpenTelemetry

Cloud & Platform Expertise

AWS and Azure Cloud

Kubernetes and Container Monitoring

Linux, Windows, and Enterprise Infrastructure Monitoring

Database, Middleware, Storage, Backup, and Network Monitoring

Integration & Automation

Splunk

ServiceNow

AIOps Platforms

Python, PowerShell, Terraform, or Ansible

API-based Integrations