Datadog Observability Lead for Azure Platform Engineering

MYO Talent

England

Hybrid

GBP 92,000 - 111,000

Part time

7 hours ago
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Job summary

MYO Talent, on behalf of a leading UK client, is seeking a Senior / Lead Site Reliability Engineer to implement Datadog in Azure for a 6-month hybrid engagement. The role focuses on reliability across production systems with a day rate of £500–£600.

You will own the Datadog observability platform, design synthetic monitoring, and integrate monitoring, testing, dashboards, and alerts into Azure DevOps and GitHub pipelines, driving SLOs/SLIs and root-cause analysis.

Qualifications

  • Strong hands-on Datadog expertise across synthetic monitoring, APM, and logs.
  • Experience integrating Cloudflare services and CI/CD pipelines.
  • Experience designing monitoring, dashboards, and SLOs in production.

Responsibilities

  • Own and evolve the Datadog observability platform.
  • Design and maintain synthetic monitoring for critical API and UI workflows.
  • Build continuous production validation covering business-critical customer journeys.
  • Integrate monitoring, testing, dashboards, and alerting into Azure DevOps and GitHub pipelines.
  • Develop monitoring-as-code and testing-as-code practices using Terraform.
  • Create actionable dashboards, SLOs, SLIs, alerts, and anomaly detection.
  • Integrate Datadog with Azure, Cloudflare, and modern SaaS architectures.
  • Drive reliability, performance, and root-cause analysis across production systems.

Skills

SRE mindset
Platform engineering
Observability

Tools

Datadog
Azure
Cloudflare
Terraform
Azure DevOps
GitHub

Job description

MYO Talent, on behalf of a leading UK client, is seeking a Senior / Lead Site Reliability Engineer to implement Datadog in Azure for a 6-month hybrid engagement. The role focuses on reliability across production systems with a day rate of £500–£600.

You will own the Datadog observability platform, design synthetic monitoring, and integrate monitoring, testing, dashboards, and alerts into Azure DevOps and GitHub pipelines, driving SLOs/SLIs and root-cause analysis.

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