Walk-in || L2 Observability
- Compensation
- Not disclosed
- Location
- Chennai; Coimbatore
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- 3 to 6 years of experience in Managed Services, NOC, SRE, or application/infrastructure
Nice to have
- Datadog certification (APM, Infrastructure, or Log Management specialization).
- Scripting experience (Python, Shell, PowerShell) for automation and custom integrations.
- Exposure to Infrastructure as Code (Terraform) for managing Datadog configuration as
Full description
Virtual Walk-In Interview - IT Engineers
Saturday, October 31 • 10:00am 4:30pm
Google Meet joining info
Video call link: https://meet.google.com/fae-phgb-nyy
Key Responsibilities
- Act as the first escalation point for incidents triaged by L1 engineers that require deeper
investigation.
- Perform root cause analysis (RCA) by correlating APM traces, infrastructure metrics,
network telemetry, logs, Synthetics results, and RUM data.
- Configure and fine-tune advanced Datadog capabilities: custom metrics, log pipelines,
monitors with composite/anomaly detection, SLOs, and dashboards aligned to service
ownership.
- Guide and review Datadog APM instrumentation coverage across services; identify
monitoring gaps and recommend improvements.
- Independently identify whether an issue originates in the application tier, infrastructure,
network, or a third-party dependency, in both 3-tier and cloud-native
(microservices/containerized) environments.
- Lead or actively participate in major incident bridge calls, providing observability data to
speed up resolution.
- Own problem management: identify recurring incidents, drive permanent fixes, and track
them to closure.
- Mentor and coach L1 engineers on triage techniques, Datadog usage, and escalation
quality.
- Contribute to automation of routine monitoring tasks (alert enrichment, auto-remediation
triggers, ticket auto-creation).
- Support capacity and performance trend analysis using historical Datadog data.
- Review and refine monitors to reduce noise and false positives (alert tuning).
- Ensure adherence to SLAs/OLAs and maintain quality of incident documentation and RCA
reports.
- Participate in client/stakeholder calls to explain incidents, trends, and improvement plans.
Required Skills and Experience
Observability Platform Skills
- 3 to 6 years of experience in Managed Services, NOC, SRE, or application/infrastructure
support roles, with at least 1-2 years working hands-on with Datadog.
- Strong working knowledge of Datadog across monitoring, dashboards, alerting, APM,