About the role
As a preferred supplier to one of our biggest Clients, I am seeking for a SRE Engineer (Datadog) for a position in York (UK).
All candidates should make sure to read the following job description and information carefully before applying.
Key Responsibilities:
Experience: 10+ years of hands-on experience in Site Reliability Engineering (SRE), DevOps, or Systems Architecture, with at least 3+ years specializing deeply in Datadog administration and configuration.
Cloud & Container Expertise: Deep professional experience working with AWS, Azure, or GCP, paired with heavy production experience managing Kubernetes clusters.
Instrumentation & Coding: Proficiency in systems or scripting languages (e.g., Python, Go, Bash, or JavaScript) and experience instrumenting applications for APM.
Datadog Mastery: Deep understanding of Datadog's core pillars-Infrastructure, APM, Logs, Metrics, Synthetics, and Security Monitoring. Datadog Certifications are a strong plus.
Problem-Solving Mindset: Demonstrated ability to debug complex, distributed microservices architectures under high-pressure incident response scenarios.
Communication Skills: Excellent interpersonal and stakeholder management skills, with the ability to translate technical telemetry data into actionable business and engineering insights.
Essential skills/knowledge/experience:
Architecture & Implementation
Platform Ownership: Design, deploy, and manage Datadog agents, integrations, and custom metrics across multi-cloud (AWS/Azure/GCP) and containerized (Kubernetes, Docker) environments.
Observability Pipelines: Architect and scale high-throughput log processing, routing, and transformation systems using Datadog.
APM & Infrastructure Monitoring: Configure and optimize Application Performance Monitoring (APM), Distributed Tracing, Real User Monitoring (RUM), and Infrastructure metrics.
Governance & Best Practices
Standardization: Establish company-wide standards for dashboards, monitors, SLOs/SLIs, and alert routing (integrating with PagerDuty, Jira, Opsgenie, etc.).
Cost & Performance Optimization: Audit and optimize Datadog usage, index management, log retention policies, and custom metric volume to maximize ROI and control licensing costs.
Security & Compliance: Leverage Datadog Security products (CSPM, CWPP, Cloud SIEM, Container Security) to maintain compliance postures and mitigate runtime threats.
Collaboration & Enablement
Cross-Functional Mentorship: Act as the go-to escalation point and technical mentor for DevOps, SRE, and Software Engineering teams regarding troubleshooting and instrumentation. xwzovoh
Training & Documentation: Create internal documentation, runbooks, and training modules to elevate organizational proficiency in observability.
Vendor Management: Act as the primary technical point of contact for Datadog account teams,
Contract: 6 months+
Rates: Excellent
Location: York
Interview: 2 stages, 1 technical + 1 assessment
All candidates should make sure to read the following job description and information carefully before applying.
Key Responsibilities:
Experience: 10+ years of hands-on experience in Site Reliability Engineering (SRE), DevOps, or Systems Architecture, with at least 3+ years specializing deeply in Datadog administration and configuration.
Cloud & Container Expertise: Deep professional experience working with AWS, Azure, or GCP, paired with heavy production experience managing Kubernetes clusters.
Instrumentation & Coding: Proficiency in systems or scripting languages (e.g., Python, Go, Bash, or JavaScript) and experience instrumenting applications for APM.
Datadog Mastery: Deep understanding of Datadog's core pillars-Infrastructure, APM, Logs, Metrics, Synthetics, and Security Monitoring. Datadog Certifications are a strong plus.
Problem-Solving Mindset: Demonstrated ability to debug complex, distributed microservices architectures under high-pressure incident response scenarios.
Communication Skills: Excellent interpersonal and stakeholder management skills, with the ability to translate technical telemetry data into actionable business and engineering insights.
Essential skills/knowledge/experience:
Architecture & Implementation
Platform Ownership: Design, deploy, and manage Datadog agents, integrations, and custom metrics across multi-cloud (AWS/Azure/GCP) and containerized (Kubernetes, Docker) environments.
Observability Pipelines: Architect and scale high-throughput log processing, routing, and transformation systems using Datadog.
APM & Infrastructure Monitoring: Configure and optimize Application Performance Monitoring (APM), Distributed Tracing, Real User Monitoring (RUM), and Infrastructure metrics.
Governance & Best Practices
Standardization: Establish company-wide standards for dashboards, monitors, SLOs/SLIs, and alert routing (integrating with PagerDuty, Jira, Opsgenie, etc.).
Cost & Performance Optimization: Audit and optimize Datadog usage, index management, log retention policies, and custom metric volume to maximize ROI and control licensing costs.
Security & Compliance: Leverage Datadog Security products (CSPM, CWPP, Cloud SIEM, Container Security) to maintain compliance postures and mitigate runtime threats.
Collaboration & Enablement
Cross-Functional Mentorship: Act as the go-to escalation point and technical mentor for DevOps, SRE, and Software Engineering teams regarding troubleshooting and instrumentation. xwzovoh
Training & Documentation: Create internal documentation, runbooks, and training modules to elevate organizational proficiency in observability.
Vendor Management: Act as the primary technical point of contact for Datadog account teams,
Contract: 6 months+
Rates: Excellent
Location: York
Interview: 2 stages, 1 technical + 1 assessment
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