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VAST Data

Senior Lab Reliability Engineer

Posted 2 months ago
5-10 years experience
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AI Summary

The Senior Lab Reliability Engineer will own the operational reliability of VAST clusters in the lab environment, including proactive monitoring and issue resolution. They will also shape the automation and tooling strategy while serving as the primary technical escalation point for complex infrastructure problems.




VAST is building out a Presales Platform team responsible for the tooling, automation, and infrastructure that enables our field engineering organization to demonstrate value at scale. Our lab is a core asset for evaluations, demos, and internal enablement, and we're building a team whose job is to keep it running at production-quality reliability.


This role holds the senior technical ownership on that team. You'll own the reliability of the VAST clusters in our lab environment, influence the direction for the automation, tooling, and infrastructure-as-code practices the rest of the team builds on and executes within, and serve as the escalation point for the hardest technical problems in the lab. You'll partner with a growing team of lab and platform engineers, as well as the internal teams who rely on these tools day to day, to understand their needs and raise the operational bar of everything we run.


Responsibilities

  • Own the operational reliability of VAST clusters in the lab environment, including proactive health monitoring, upgrade planning, and issue resolution
  • Serve as the primary technical escalation point for complex cluster issues, working hands-on-keyboard to resolve them and partnering with VAST engineering when deeper investigation is needed
  • Shape the automation and tooling strategy for the lab environment, including provisioning scripts, CLI utilities, monitoring dashboards, and internal tooling that the rest of the team builds on
  • Help establish standards for infrastructure-as-code and configuration management (Ansible or equivalent) across the lab environment
  • Reproduce and isolate difficult issues in controlled lab environments, producing high-quality diagnostic data and reports for engineering
  • Own broader systems infrastructure supporting the lab, including virtualization platforms (VMware vSphere, Proxmox), compute, networking, and storage
  • Mentor and support other members of the lab operations team, raising the collective technical bar
  • Partner with pre-sales SEs, professional services, and engineering to reproduce customer-relevant scenarios and validate solutions in the lab


Required Qualifications

  • 4+ years of professional experience in a systems engineering, storage engineering, customer support engineering, or related role
  • Deep hands-on experience with enterprise storage systems (VAST, Pure, NetApp, Isilon, Ceph, or similar) at an operational or reliability level
  • Strong Linux systems administration skills, including networking, storage, filesystems, systemd, and CLI tooling
  • Strong scripting/programming experience (Python, Bash, or similar), sufficient to build and maintain automation and tooling other engineers rely on
  • Experience with Docker and Kubernetes in operational environments
  • Experience with infrastructure-as-code or configuration management tools (Ansible or equivalent)
  • Solid networking foundations (VLANs, routing, subnetting, network troubleshooting)
  • Experience with virtualization platforms (VMware vSphere, ESXi, Proxmox, or equivalent)
  • Methodical approach to troubleshooting complex issues across storage, networking, and compute layers
  • Comfort working across timezones with distributed team members
  • Excellent written and verbal communication, including ability to produce clear technical documentation and reports


Preferred Qualifications

  • Existing hands-on experience with VAST Data clusters
  • Prior experience as a Customer Support Engineer at a storage or infrastructure company OR Reliability Engineer / SRE supporting a wide variety of infrastructure services
  • Familiarity with observability platforms (Grafana, Prometheus, Elasticsearch)
  • Network switch administration experience (Cumulus, Arista, Cisco)
  • Experience with high-performance computing environments or ML/AI training workloads



Requirements

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