Vultr - Infrastructure Production Engineer
Requirements
• 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). • Familiarity with infrastructure automation or configuration management frameworks such as Ansible is strongly preferred. • Strong written and verbal communication skills and the ability to collaborate effectively with technical teams • Understanding of data center networking concepts and protocols such as DHCP, IPv6, and ICMP • Ability to collaborate with engineering teams to deliver automation solutions, reliability improvements, and production-ready tooling.
Responsibilities
• 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.
Benefits
• $60,000 - $80,000 • Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws • INCLUSION & PRIVACY
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