Python Senior Technical Lead - DevOps
Job details
- Level
- Staff / principal
- Experience
- 7+ years
- Posted
- Oct 16, 2026
- Last confirmed open
- Oct 16, 2026
About this role
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.
Must Have Skill
-------------------
Github,Python,Devops
Good to Have Skill
----------------------
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.