Senior Observability Lead

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

We are seeking a Senior Observability Lead with deep expertise in Splunk Enterprise to design, scale, and optimize observability solutions across our hybrid infrastructure. This is a strategic and hands-on role focused on enabling visibility, accelerating incident response, and improving operational intelligence for infrastructure and application services.

You will act as the technical authority on all things related to log management and monitoring, with a strong emphasis on Splunk architecture, data ingestion pipelines, search optimization, and operational dashboards. Familiarity with other observability tools is a plus.

Key Responsibilities

• Own the design, deployment, and lifecycle management of the Splunk Enterprise platform, including indexer and search head clustering, forwarders, and knowledge objects.
• Define and implement best practices for data onboarding, parsing, enrichment, and storage to support observability use cases.
• Collaborate with infrastructure, DevOps, security, and application teams to build reliable, scalable observability solutions.
• Develop advanced SPL searches, correlation rules, alerts, and performance dashboards.

• Improve alert quality and reduce noise through smarter event correlation and visualization.
• Drive observability maturity initiatives including logging standardization, automation, and self-service access to telemetry data.
• Evaluate and integrate additional observability and monitoring tools (e.g., Prometheus, Grafana, LogicMonitor, AppDynamics, Dynatrace, etc.) to complement existing capabilities.
• Lead troubleshooting and incident response efforts where visibility and telemetry data are required.
• Mentor junior engineers and influence platform and observability architecture decisions.

Qualifications:

• 8-12 years of progressive experience in observability, infrastructure monitoring, or SRE roles.
• Minimum 7 years of direct hands-on experience with Splunk Enterprise at enterprise scale.
• Deep knowledge of Splunk architecture, including clustering, ingestion pipelines, search performance tuning, and index lifecycle policies.

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• Advanced proficiency with SPL (Search Processing Language) and dashboarding.
• Experience building and scaling log pipelines using technologies such as syslog, Fluentd, Logstash, Cribl, etc.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and hybrid infrastructure environments.
• Experience working with configuration management and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Excellent collaboration, problem-solving, and communication skills.

Must Have

• Splunk certifications (e.g., Certified Architect, Consultant, or Admin).
• Experience with APM and tracing tools (e.g., OpenTelemetry, Jaeger, New Relic, etc.).