Tower Lead (Support & Operations)
About this role
Job Summary
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
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.
Skill Requirements
Required Skills
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
Other Requirements
Frequently Asked Questions
Is the salary disclosed for the Tower Lead (Support & Operations) position at HCLTech?
The salary for this Tower Lead (Support & Operations) role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Tower Lead (Support & Operations) position at HCLTech located?
This Tower Lead (Support & Operations) role at HCLTech is based in Hyderabad, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Tower Lead (Support & Operations) position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Tower Lead (Support & Operations) job at HCLTech posted?
This Tower Lead (Support & Operations) position at HCLTech was posted on Sep 2, 2026. Apply as soon as possible — early applications are often reviewed first.
Tower Lead (Support & Operations)
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.