Job Summary

- 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.
- Robust understanding of modern observability practices (metrics, logs, traces).

Key Responsibilities

- Experience integrating Datadog with Terraform or configuration management tools.
- Knowledge of ITIL event and incident processes.

Skill Requirements

- Own Datadog full-stack observability across infrastructure, application, network, and cloud components.
- Fine-tune and optimize existing Datadog monitoring configurations, dashboards, alerts, and synthetics.




- Implement advanced Datadog functionalities such as APM distributed tracing, RUM, log analytics, and CI/CD pipeline integrations.
- Define observability KPIs and SLIs/SLOs aligned to business and IT service health.
- Develop and maintain custom monitors, service maps, and metric dashboards for proactive monitoring.
- Integrate Datadog with incident management systems (ServiceNow, OpsGenie, PagerDuty, etc.).
- Collaborate with developers, SREs, and infrastructure teams to trace, diagnose, and resolve performance bottlenecks.
- Mentor team members and document observability use cases and best practices.

Must Have Skill

CI/CD,Datadog,Incident management,Scripting,System Log analytics

Good to Have Skill

Other Requirements

- Experience integrating Datadog with Terraform or configuration management tools.
- Knowledge of ITIL event and incident processes.

📌 Sr Technical Lead (Support & Operations) (India)
🏢 HCLTech
📍 India