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Enterprise Observability Architect

Apolis
πŸ‡¬πŸ‡§ United Kingdom | πŸ‡ΊπŸ‡Έ United States
On-site
Staff / Principal
2 months ago
$58 – $68 / hour
  • AIOps
  • Datadog
  • AI
  • npm
  • Machine Learning
  • OpenTelemetry
  • AWS
  • Azure Cloud
  • Kubernetes
  • Linux
  • Windows
  • Splunk
  • ServiceNow
  • Python
  • PowerShell
  • Terraform
  • Ansible
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  • Enterprise Observability Architect
    Onsite/Hybrid - 225 Borthwick Ave, Portsmouth, NH 03801
    Max vendor rate is $83/hr
    5 days / 8 hours per week

    Top Skills Required :

    1.DataDog

    2.Splunk

    3. AIOps Platforms

    Job Description/ Responsibilities :


    Role Overview

    We are seeking an experienced Datadog 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
    Years of Experience: 14.00 Years of Experience


Enterprise Observability Architect Β· Apolis

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