Job Description:

Key Responsibilities:

- Design, implement, and manage enterprise observability solutions using Datadog.

- Configure and maintain monitoring for applications, infrastructure, cloud services, containers, and databases.

- Develop dashboards, monitors, alerts, and service-level objectives (SLOs) to improve system visibility.

- Implement Application Performance Monitoring (APM) and Distributed Tracing across microservices architectures.

- Configure log aggregation, analysis, and correlation using Datadog Log Management.

- Build synthetic monitoring and real user monitoring (RUM) solutions for customer-facing applications.

- Monitor cloud platforms including AWS, Azure, and GCP environments.

- Support incident detection, root cause analysis, and post-incident reviews.

- Collaborate with DevOps, SRE, Cloud Engineering, and Application Development teams.

- Automate monitoring deployments through Infrastructure as Code (IaC) and CI/CD pipelines.

- Define observability standards, monitoring best practices, and governance frameworks.

- Optimize system performance, availability, reliability, and operational efficiency.

- Develop performance baselines and capacity planning models.

- Create operational runbooks, monitoring documentation, and knowledge-sharing materials.

Required Skills & Qualifications:

Datadog Platform Expertise:

- Hands-on experience with Datadog Infrastructure Monitoring, APM, Log Management, Synthetic Monitoring, RUM, Network Performance Monitoring (NPM), Cloud Security Monitoring, Incident Management, Service Catalog, and SLO & Error Tracking.

Observability & Monitoring:

- Strong understanding of Observability Principles, Metrics, Logs, Traces, Distributed Tracing, Application/Infrastructure Monitoring, End-to-End Visibility, Root Cause Analysis, Event Correlation, and Alert Management.

Site Reliability Engineering (SRE):

- Experience with SLIs, SLOs, Error Budgets, Incident Response, Reliability Engineering, Capacity Planning, and Performance Optimization.

Cloud Platforms:

- Hands-on experience with AWS, Azure, GCP, and Hybrid Cloud Environments.

Container & Kubernetes Monitoring:

- Experience monitoring Kubernetes, Amazon EKS, Azure AKS, Google GKE, Docker Containers, and Service Mesh Architectures.