Senior Technical Lead

Job description

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 Open Telemetry. 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/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. Key Responsibilities 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 Open Telemetry. 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/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. Skill Requirements 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 Open Telemetry. 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/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. Other Requirements 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 Open Telemetry. 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/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. Maximum Salary (US): Minimum Salary (US): Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Compensation and