Infrastructure Production Engineer

WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. Vultr Cares - 100% company-paid insurance premiums for employee medical, dental and vision plans. - 401(k) plan that matches 100% up to 4%, with immediate vesting - Professional Development Reimbursement of $2,500 each year - 11 Holidays + Paid Time Off Accrual + Rollover Plan - Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year - $500 stipend for remote office setup in first year + $400 each following year - Internet reimbursement up to $75 per month - Gym membership reimbursement up to $50 per month - Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced Associate Infrastructure Production Engineer to ensure GPU hardware validation and readiness across our global production environment. The ideal candidate is an analytical problem-solver with strong Linux skills, Python scripting ability, and a detail-oriented approach to infrastructure validation and automation. This is a highly visible role in a high-growth technology company, which will require collaboration with engineering teams to refine testing processes, close gaps in automation coverage, and build technical solutions that reduce deployment risk and improve production standards. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure. Key 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. Qualifications - 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 tr…