Lead Site Reliability & Observability Engineer

MYO Talent; England; Hybrid; GBP 92,000 - 111,000; Part time

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

Senior / Lead Site Reliability Engineer / Platform Engineer / Platform Engineering Lead / Platform Manager / Observability Engineer / Observability Lead / Architect / Manager / SRE / Datadog / Cloud / Azure / 6-month contract / Hybrid / £500 – 600 per day.

One of our leading clients is seeking a Site Reliability Engineer / Platform Engineering Lead to implement Datadog in Azure.

Duration – 6 months +

This role will lead the implementation of Datadog across Azure and Cloudflare, creating a comprehensive early warning system that continuously validates APIs, integrations, and customer user journeys in production.

Key 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.

Experience:

• Strong hands-on Datadog expertise, including: Synthetic Monitoring, APM, RUM, Log Management, SLOs and Alerting
• Experience integrating Cloudflare services, Strong CI/CD