Python Senior Technical Lead - DevOps

Job Summary

oin our Observability team responsible for designing, building, and operating enterprise platforms

for logging, metrics, tracing, and alerting across large-scale cloud infrastructure. You'll lead

initiatives that improve reliability, scalability, and operational excellence.

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.

Skill Requirements

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.

Other Requirements

Splunk certification.

• Experience with Kubernetes, AWS/Azure/GCP, 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.