Job Summary
Role – L3 engineer
Location – Offshore
Job Summary - Datadog seeks an experienced observability engineer to lead full-stack monitoring across infrastructure, applications, networks, and cloud environments. The role combines technical ownership, optimization, integration, and team mentorship.
• Candidates need 5–8 years in monitoring, including at least 3 years with Datadog, plus APM, logs, metrics, RUM, and synthetics expertise.
• Responsibilities include defining SLIs and SLOs, building dashboards and monitors, integrating incident tools, and diagnosing performance bottlenecks.
• Required experience covers AWS, Azure, or GCP, scripting, CI/CD, Docker, Kubernetes, and distributed systems; Terraform and ITIL knowledge are desirable.
Key Responsibilities
Role – L3 engineer
Location – Offshore
Job Summary - Datadog seeks an experienced observability engineer to lead full-stack monitoring across infrastructure, applications, networks, and cloud environments. The role combines technical ownership, optimization, integration, and team mentorship.
• Candidates need 5–8 years in monitoring, including at least 3 years with Datadog, plus APM, logs, metrics, RUM, and synthetics expertise.
• Responsibilities include defining SLIs and SLOs, building dashboards and monitors, integrating incident tools, and diagnosing performance bottlenecks.
• Required experience covers AWS, Azure, or GCP, scripting, CI/CD, Docker, Kubernetes, and distributed systems; Terraform and ITIL knowledge are desirable.
Skill Requirements
- 5–8 years of experience in infrastructure or application monitoring, with 3+ years in Datadog.
- Strong implementation experience across Datadog APM, Logs, Metrics, RUM, and Synthetics modules.
- Hands-on experience with cloud environments (AWS, Azure, or GCP).
- Knowledge of scripting (Python, PowerShell, or Bash) for automation of Datadog configurations.
- Familiarity with CI/CD pipelines, containerized workloads (Docker, Kubernetes), and distributed systems.
- Strong understanding of modern observability practices (metrics, logs, traces).