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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:
- Solid 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.
📌 TCS - Datadog Specialist - Application Performance Monitoring (India)
🏢 TCS
📍 India