Site Reliability Engineer

Your responsibilities: (Up to 10, Avoid repetition) 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. Your Profile Essential skills/knowledge/experience: (Up to 10, Avoid repetition) 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. Desirable skills/knowledge/experience: (As applicable) 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. 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,