HCLTech
Python Senior Technical Lead - DevOps
Skills
3 days ago
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Important information
Salary:
$78,000 – $148,000 / year
Location:
United States
Work mode:
Onsite
Published on:
16 October 2026
What they need
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.
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