Senior Observability Engineer

Note: Please share your updated resume at sachin.shah@cielotalent.com

We are looking for a Senior Observability Engineer with extensive hands-on experience in Splunk Enterprise to support and evolve our observability platform across hybrid infrastructure environments. This role will focus on the implementation, optimization, and maintenance of logging and monitoring solutions that enable performance insights, operational visibility, and faster incident resolution.

Key Responsibilities:

• Administer and optimize the Splunk Enterprise platform, including indexers, search heads, forwarders, and data onboarding.
• Build and maintain SPL queries, dashboards, alerts, and scheduled reports to support real-time monitoring and historical analysis.
• Work closely with cross-functional teams to ensure relevant logs, metrics, and events are properly captured and structured for operational use.
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  Maintain and improve log pipelines and data parsing workflows using tools like syslog, Cribl, Fluentd, or Logstash.
• Assist in defining and enforcing logging and observability standards across infrastructure and application environments.
• Support onboarding of new data sources, and ensure appropriate indexing and data lifecycle practices.
• Contribute to incident investigations by providing visibility into system behavior and supporting root cause analysis.
• Support efforts to integrate and manage complementary monitoring tools (e.g., Grafana, LogicMonitor, Prometheus, AppDynamics, Dynatrace).
• Document platform configuration, SOPs, dashboards, and knowledge objects to support maintainability and team collaboration.

Qualifications:

• 5-8 years of experience in observability, infrastructure monitoring, or SRE roles.
• Minimum 5 years of experience with Splunk Enterprise in an operational or engineering capacity.
• Strong understanding of Splunk architecture, deployment components, and performance tuning techniques.
• Proficiency in writing SPL queries, designing dashboards, and configuring alerts.
• Familiarity with log routing tools such as syslog, Fluentd, Logstash, or Cribl.
• Working knowledge of cloud infrastructure (AWS, Azure, or GCP) and hybrid environments.
• Basic scripting or automation skills (e.g., Python, Bash, Terraform, Ansible).
• Comfortable working collaboratively in cross-functional teams.