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# Sr Domain\Technical Architect

- **Company:** HCL America, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $105,000.0 - $188,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Bash Shell, Ubuntu (Operating System), Cloud Computing, Continuous Integration, Linux, DevOps, Domain Name System (DNS), Monitoring of Systems, Linux System Administration, Log Analysis, Routing, Role-Based Access Control, Red Hat Enterprise Linux, Ansible, Prometheus, TCP/IP, AI Infrastructure, Datadog, Load Balancing, Grafana, Git, Containerization, Kubernetes, Hardware Infrastructure, Terraform, Splunk, Software Version Control, Dynatrace, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6d80bdca1cc54b1c

## About the Role

Strong Linux administration: RHEL / Rocky Linux / Ubuntu Kubernetes administration and troubleshooting Docker / container runtime knowledge TCP/IP, DNS, routing, switching and load-balancing fundamentals Shell/Bash scripting Linux performance and log analysis Incident management and RCA Git/version control Infrastructure monitoring and troubleshooting The existing JD specifically calls for production Kubernetes experience including architecture, networking, storage, RBAC, pod lifecycle and cluster upgrades., AI Infrastructure / GPU platform exposure NVIDIA/GPU infrastructure concepts Prometheus / Grafana / Splunk / Datadog / Dynatrace Ansible / Terraform AWS / Azure / GCP CI/CD and DevOps practices Infrastructure-as-Code Experience working in large-scale production environments

## Description

We are seeking an experienced AI Factory Platform Operations Engineer to support deployment, operations, troubleshooting, and reliability of enterprise AI infrastructure. The role will focus on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments. The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex infrastructure issues, perform root cause analysis, and improve operational reliability., AI / GPU Infrastructure Operations Support day-to-day operations of AI infrastructure and GPU-based platforms. Perform infrastructure health checks