Remote HPC Reliability & Automation Engineer

Wipro Ltd.; Dallas (TX); Remote; USD 100,000 - 200,000; Full time

Benefits offered by this job

Medical and dental benefits

Disability insurance

Paid time off

Job summary

Wipro Ltd. is seeking a Production Engineer for HPC Reliability & Automation who will support a multi-cloud AI infrastructure from a remote role within the Pacific Time Zone. You’ll diagnose complex HPC, GPU/accelerator clusters, and distributed compute issues, and translate findings into automated detection and remediation workflows.

The role emphasizes strong Linux, networking, and observability skills, with experience in Python or Go automation. Prior HPC ops and cloud tooling are a plus.

Qualifications

• Production HPC experience in reliability-focused role.
• Strong Linux and networking skills incl. containers, storage I/O, DNS, connectivity, and authentication.
• Experience with observability using Prometheus, Grafana, OpenTelemetry, centralized logging.
• Automation experience using Python or Go in production investigations.
• Nice to have: Slurm, Kubernetes, HPC scheduling/orchestration, and cloud observability.

Responsibilities

• Understand and support multi-cloud HPC architecture across clusters, schedulers, accelerators, storage, networking, and authentication.
• Identify reliability and performance issues by analyzing logs, metrics, and events across cloud environments.
• Troubleshoot Linux, containers, schedulers, distributed workloads, storage, networking and accelerators to find root causes.
• Turn investigations into repeatable automation and agent-enabled workflows for detection, diagnosis, and safe remediation.
• Improve observability and monitoring and collaborate with infra, research, security, and cloud teams on long-term fixes.

Skills

HPC experience

Linux networking

Observability tools

Python/Go automation

Multi-cloud

Tools

Prometheus

Grafana

OpenTelemetry

Terraform

Job description

Wipro Ltd. is seeking a Production Engineer for HPC Reliability & Automation who will support a multi-cloud AI infrastructure from a remote role within the Pacific Time Zone. You’ll diagnose complex HPC, GPU/accelerator clusters, and distributed compute issues, and translate findings into automated detection and remediation workflows.

The role emphasizes strong Linux, networking, and observability skills, with experience in Python or Go automation. Prior HPC ops and cloud tooling are a plus.