Lead Site Reliability Engineer

Key Responsibilities

• Design, deploy, and operate enterprise observability platforms.

• Build and maintain Splunk Enterprise/Splunk Cloud infrastructure including Indexers, Search

Head Clusters, Heavy Forwarders, and Deployment Servers.

• Deploy and operate large-scale Elasticsearch clusters for log analytics and search.

• Design, deploy, and support distributed tracing platforms using Grafana Tempo and

OpenTelemetry.

• Build and maintain end-to-end tracing pipelines, instrumentation standards, and trace retention

strategies.

• Scale Prometheus, Grafana, Kafka, Tempo, and OpenTelemetry-based monitoring solutions.

• Develop dashboards, alerts, analytics, and trace visualizations using Splunk SPL, Grafana,

Kibana, and Tempo.

• Automate infrastructure using Terraform and configuration management tools.

 
 Required Qualifications

• 7+ years in Site Reliability Engineering, Platform Engineering, or DevOps.

• Hands-on experience administering Splunk Enterprise or Splunk Cloud.

• Strong knowledge of Splunk SPL.

• Experience with Elasticsearch/ELK, Prometheus, Grafana, Grafana Tempo, distributed tracing,

OpenTelemetry, and Kafka.

• Experience implementing metrics, logs, and traces as part of a modern observability strategy.

• Experience with Terraform and Infrastructure as Code.

• Programming experience in Python, Go, Ruby, or Bash.

 
 Preferred Qualifications

•  Splunk certification.

• Experience with Kubernetes, AWS/Azure/Google Cloud Platform, Ansible, Consul, CI/CD pipelines, and service

mesh technologies.

• Experience supporting FedRAMP or regulated environments.

Technology Stack

Splunk Enterprise, Splunk Cloud, Elasticsearch, ELK, Kibana, Prometheus, Grafana, Grafana

Tempo, OpenTelemetry, Distributed Tracing, Kafka, Terraform, Kubernetes, Docker, Linux, Python,

Go, Ruby, Bash, AWS, Ansible, Consul.
 The successful applicant may perform work in FedRAMP High or IL-5 environments  
Keywords 
SRE, Site Reliability Engineering, Observability, Splunk, Splunk Enterprise, Splunk Cloud,

Elasticsearch, ELK, Kibana, Prometheus, Grafana, Tempo, Grafana Tempo, Distributed Tracing,

OpenTelemetry, Traces, Kafka, Terraform, Kubernetes, Linux, DevOps.