Infrastructure Production Engineer

Overview

Associate Infrastructure Production Engineer role focused on GPU hardware validation and readiness across Vultr's global production environment, combining Linux, Python and automation work.

What you'll do

• Design, develop, and maintain automated diagnostic, validation, and remediation frameworks for production GPU hardware (NVIDIA and AMD) using vendor tooling, Python, and infrastructure automation technologies.
• Engineer and support Python-based agents, services, APIs, and Ansible automation (playbooks, roles, pipelines) that orchestrate hardware provisioning, telemetry collection, health monitoring, and production onboarding workflows.
• Analyze workload performance, utilization, thermals, and diagnostic output to identify hardware and system issues, enhance validation methodologies, and improve infrastructure readiness standards.
• Execute and evolve testing and verification processes for production onboarding and Return Material Authorization (RMA), developing automation enhancements to improve reliability, scalability, and coverage.
• Contribute to production stability by building tooling that gates hardware deployment, enforces quality standards, and reduces systemic infrastructure risk.
• Document system designs, automation logic, validation methodologies, and operational guidance; maintain accurate Jira records reflecting engineering activities, findings, and outcomes.
• Identify gaps or inefficiencies within testing, validation, or automation processes and design technical solutions to address them in collaboration with engineering teams.

What you'll need

• Strong analytical skills and attention to detail with the ability to evaluate, enhance, and optimize validation and testing methodologies.
• Ability to clearly document work performed, including commands executed, observations, and outcomes.
• Strong Linux proficiency, and experience working within Linux production environments in command-line system contexts.
• Ability to design, write, and modify Python and shell scripts to support infrastructure diagnostics, automation, and validation workflows (required after initial training).
• Understanding of data center networking concepts and protocols such as DHCP, IPv6, and ICMP.
• Strong written and verbal communication skills and the ability to collaborate effectively with technical teams.
• Ability to collaborate with engineering teams to deliver automation solutions, reliability improvements, and production-ready tooling.

Nice to have

• Familiarity with infrastructure automation or configuration management frameworks such as Ansible.

Details

• Location: Remote - United States.
• Compensation: $60,000 - $80,000; final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.