Lead Site Reliability Engineer – Observability (US Remote)||W2

Remote • Posted 10 hours ago • Updated 10 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Splunk
  • Terraform
  • Kibana
  • Google Cloud Platform
  • DevOps
  • Configuration Management
  • Good Clinical Practice
  • Reliability Engineering
  • FedRAMP
  • Splunk Certification

Summary

Lead Site Reliability Engineer – Observability (US Remote)

Location: Remote, prefer PST hours

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.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTPkmMvm8DIbz5u
  • Position Id: 9036170
  • Posted 10 hours ago
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