Tower Lead (Support & Operations)
HCLTech
Hyderabad, Telangana, IndiaPosted about 1 month agoDiscoveredMatch locked
Full-time
Role Summary
The Observability & Datadog Engineer is responsible for designing, implementing, and managing enterprise monitoring and observability solutions using Datadog. The role focuses on proactive monitoring, performance management, incident reduction, root cause analysis, and improving service reliability across infrastructure, applications, cloud platforms, and business services. Internal observability frameworks emphasise Metrics, Events, Logs, and Traces (MELT), alert correlation, anomaly detection, dashboards, and SRE-driven operations.
Key Responsibilities
- Design and implement end-to-end observability solutions using Datadog.
- Configure and maintain monitoring for:
- Infrastructure (Servers, VMs, Network, Storage)
- Cloud platforms (Azure, AWS, GCP)
- Containers and Kubernetes
- Applications and Microservices
- Databases and Middleware
- Build and manage:
- Dashboards
- Alerts and Monitors
- Service Level Indicators (SLIs)
- Service Level Objectives (SLOs)
- Implement Application Performance Monitoring (APM), Log Management, Distributed Tracing, and Synthetic Monitoring.
- Perform root cause analysis using metrics, logs, traces, and events.
- Reduce alert noise through correlation, automation, and threshold optimisation.
- Partner with Development, DevOps, Cloud, and SRE teams to improve application reliability.
- Automate monitoring deployment using Terraform, APIs, Python, or Shell scripting.
- Support incident, problem, and change management processes.
- Define observability standards, governance, and best practices.
Datadog
- Infrastructure Monitoring
- APM (Application Performance Monitoring)
- Log Management
- Distributed Tracing
- RUM (Real User Monitoring)
- Synthetic Monitoring
- Network Performance Monitoring
- Dashboard & Alert Configuration
- SLO/SLI Management
- Datadog API & Integrations
Technical Skills
- Linux & Windows Administration
- Kubernetes / OpenShift
- Docker Containers
- Azure / AWS / GCP
- CI/CD Tools
- REST APIs
- Terraform / Infrastructure as Code
- Python, PowerShell, Bash
Observability Skills
- Metrics, Logs, Events & Traces (MELT)
- Monitoring Strategy
- Alert Correlation
- Anomaly Detection
- Capacity & Performance Management
- Incident Management
- Root Cause Analysis
Not included in the source posting: about the role, benefits.
Skills
awsazuregcpkubernetespythonterraformbashci-cddockerlinuxrest-apisre
Who can apply
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