AIOps Engineer, AI Infrastructure

Job not on LinkedIn

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VAILEXA

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

VAILEXA is a talent solutions and recruitment firm that provides customized staffing and end-to-end hiring services for businesses. VAILEXA offers Recruitment Process Outsourcing (RPO), executive search and headhunting, global recruitment solutions, and professional HR consulting (policy management, employee engagement, leadership training). The company emphasizes data-driven workforce planning and predictive analytics, with real-time dashboards, scenario planning, and skills gap analysis to help clients scale. VAILEXA serves multiple industries (technology & SaaS, financial services & banking, government & public sector, logistics & transportation, healthcare & life sciences, energy, manufacturing, retail, semiconductor, insurance) and highlights customer-facing metrics such as 300+ happy clients, 98% client retention, 88% placement success, and fast time-to-shortlist.

📋 Description

• Check system health before validation by verifying node readiness, scheduler health, GPU availability, and critical cluster services • Support stable operation during validation by troubleshooting Linux, SLURM, GPU, network, and storage issues and partnering with the right teams to restore healthy system behavior • Separate infrastructure faults from workload or test issues and turn findings into clear next steps, remediation actions, and operational guidance • Improve recurring issues through better diagnostics, runbooks, alerts, and targeted automation that reduces manual effort and helps teams respond more efficiently

🎯 Requirements

• 4+ years of experience in site reliability engineering, infrastructure engineering, systems engineering, or production operations in large-scale Linux environments • Strong Linux administration and troubleshooting skills across services, processes, networking, storage, resource contention, and system performance • Experience operating or troubleshooting bare-metal, HPC, or GPU clusters, including SLURM administration and understanding of cluster health and workload execution • Practical Python or Bash scripting skills and familiarity with Ansible or similar tools • Experience with monitoring, telemetry, logs, dashboards, alerts, or diagnostic tooling such as Prometheus, Grafana, Alertmanager, or similar platforms • Demonstrated troubleshooting and remediation experience, including investigating failures, identifying root causes, and restoring healthy system behavior • A bachelor’s degree in computer science, computer engineering, electrical engineering, or a related field, or equivalent practical experience • Preferred: experience with GPU telemetry and SLURM metrics • Preferred: experience with bare-metal cluster management platforms • Preferred: practical knowledge of bare-metal provisioning, InfiniBand, RoCE, NVLink or NVSwitch, and parallel storage failure modes • Preferred: experience supporting early-life cluster operations, system validation, or customer deployment environments

🏖️ Benefits

• Equal opportunity employment consideration • Opportunity to grow, learn, take ownership, and create impact • Freedom to think and space to grow

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