DevOps Engineer

Job Title: DevOps Engineer – Observability (OpenTelemetry & Datadog)

Experience: 5–6 Years (2–3 Years relevant in OpenTelemetry & Datadog)
Location: Pune, Delhi/NCR, Hyderabad
Employment Type: Full-time

We are looking for an experienced DevOps Engineer (Observability) with hands-on expertise in OpenTelemetry and Datadog to enhance our application monitoring, tracing, and observability framework. The ideal candidate should have strong technical proficiency in code-level instrumentation, metrics collection, and trace exports for distributed systems.

Key Responsibilities

• Implement and maintain OpenTelemetry (OTEL) instrumentation at code level for Java and Node.js applications.
• Independently configure and manage OTEL Collectors/Receivers to export telemetry data to Datadog for visualization and monitoring.
• Work on both metrics and traces, ensuring comprehensive observability coverage across services.
• Perform custom scripting and dashboards creation in Datadog for enhanced visibility and alerting.
• Collaborate with development and DevOps teams to integrate observability best practices into CI/CD pipelines.
• Troubleshoot and optimize telemetry pipelines, ensuring accurate and efficient data flow.
• Contribute to observability strategy, standards, and implementation documentation.

Required Skills & Experience

• 5–6 years of overall experience in DevOps / Observability / Monitoring.
• 2–3 years of strong, relevant experience in OpenTelemetry and Datadog.
• Proven experience with code-level instrumentation for Java and Node.js applications.
• Hands-on experience in:
  • Setting up OpenTelemetry SDKs and libraries.
  • Implementing and configuring OTEL Receivers, Processors, and Exporters.
  • Integrating OTEL with Datadog for metrics and traces visualization.
• Strong understanding of APM (Application Performance Monitoring) concepts.
• Prior experience creating custom metrics, monitors, and dashboards in Datadog.
• Solid scripting skills (Python, Shell, or similar) for automation and observability customization.
• Familiarity with CI/CD pipelines, Kubernetes, and Cloud platforms (AWS/GCP/Azure) is an added advantage.