Datadog & Splunk - Senior Observability Engineer

Prudent Globaltech Solutions; Hyderabad; Sur place; INR 800 000 - 1 200 000; Plein temps

Résumé du poste

Prudent Globaltech Solutions in Hyderabad is looking for an observability engineer to design and operate monitoring across cloud resources and Kubernetes clusters. You will configure Datadog dashboards, create Splunk SPL queries, and implement end-to-end observability using metrics, logs and traces.

You will collaborate with DevOps, SRE and application teams, automate tasks with Python, Bash, and Terraform, and contribute to incident management and RCA efforts to improve system reliability.

Qualifications

• Strong hands-on experience with Datadog and Splunk.
• Knowledge of APM, log management, dashboards, alerting.
• Experience with Linux, cloud platforms (AWS/Azure), and application monitoring.
• Knowledge of scripting, incident management, and production troubleshooting.
• Familiarity with Kubernetes, OpenTelemetry, and Terraform is preferred.

Responsabilités

• Configure and manage Datadog dashboards, monitors, alerts, APM, and infrastructure monitoring.
• Develop Splunk SPL queries, dashboards, reports, and alerts for log analysis.
• Implement end-to-end observability using metrics, logs, and distributed traces.
• Monitor cloud infrastructure, applications, APIs, and Kubernetes environments.
• Troubleshoot production issues, perform RCA, and support incident management.
• Automate monitoring tasks using Python/Bash and Terraform.
• Collaborate with DevOps, SRE, application, and infrastructure teams to improve system reliability.

Connaissances

Datadog

Splunk

APM

Log management

Observability

Linux

Cloud platforms

Scripting

Outils

Terraform

Kubernetes

OpenTelemetry

Python

Description du poste

Role & responsibilities

• Configure and manage Datadog dashboards, monitors, alerts, APM, and infrastructure monitoring.
• Develop Splunk SPL queries, dashboards, reports, and alerts for log analysis.
• Implement end-to-end observability using metrics, logs, and distributed traces.
• Monitor cloud infrastructure, applications, APIs, and Kubernetes environments.
• Troubleshoot production issues, perform root cause analysis (RCA), and support incident management.
• Automate monitoring tasks using Python/Bash and Terraform.
• Collaborate with DevOps, SRE, application, and infrastructure teams to improve system reliability.

Preferred candidate profile

• Strong hands-on experience with Datadog and Splunk.
• Knowledge of APM, log management, dashboards, alerting, and observability concepts.
• Experience with Linux, cloud platforms (AWS/Azure), and application monitoring.
• Knowledge of scripting, incident management, and production troubleshooting.
• Familiarity with Kubernetes, OpenTelemetry, and Terraform is preferred.