Senior Observability Engineer (3+)
lilly | 1 days ago | Hyderabad

Data Ingestion & Integration

  • Design, implement, and manage data ingestion pipelines from diverse sources into Splunk Cloud.
  • Ensure data quality, efficiency, and compliance across ingestion workflows.
  • Implement and manage Open Telemetry for standardized collection of traces, metrics, and logs.

Splunk ITSI Configuration

  • Develop and maintain ITSI components including:
    • Service Tree Design: Map IT infrastructure and applications into logical service trees reflecting business criticality.
    • KPI Creation: Define and refine KPIs to measure service health and performance.
    • Glass Table Development: Build intuitive dashboards for real-time operational insights.
    • Anomaly Detection: Configure machine learning-based anomaly detection and intelligent thresholds.

Performance Optimization

  • Tune Splunk Cloud and ITSI for optimal performance, including search execution and dashboard responsiveness.
  • Implement Logs as a Code (LaaC) practices for managing logging configurations and parsing rules in a version-controlled, automated manner.

Troubleshooting & Support

  • Provide expert-level support for Splunk and ITSI-related issues, including data discrepancies and performance bottlenecks.
  • Collaborate with SREs, developers, and operations teams to translate observability needs into actionable solutions.

Collaboration & Documentation

  • Work closely with application and infrastructure teams to align observability strategies with business goals.
  • Maintain comprehensive documentation and promote observability best practices across the organization.

 

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • 3–6 years of hands-on experience with Splunk Cloud and/or Splunk ITSI in enterprise environments.
  • Strong proficiency in Splunk SPL, including advanced queries, macros, and data model acceleration.
  • Experience with Open Telemetry instrumentation and observability pipelines.
  • Familiarity with scripting languages (e.g., Python, Bash) for automation and API integrations.
  • Understanding of cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) is a plus.
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