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 andOpenTelemetry.
• Build and maintain end-to-end tracing pipelines, instrumentation standards, and trace retention strategies.
• Scale Prometheus, Grafana, Kafka, Tempo, and Open Telemetry-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 Requirements7+ years in Site Reliability Engineering, Platform Engineering, or Dev Ops.
• Hands-on experience administering Splunk Enterprise or Splunk Cloud.
• Strong knowledge of Splunk SPL.
• Experience with Elasticsearch/ELK, Prometheus, Grafana, Grafana Tempo, distributed tracing,Open Telemetry, 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, Open Telemetry, Distributed Tracing, Kafka, Terraform, Kubernetes, Docker, Linux, Python,Go, Ruby, Bash, AWS, Ansible, Consul.