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Voxel
Posted 73 days agoVerified live 1d ago

Tier 3 Support Engineer

Brief overview

Remote
$125k–$150k/yrStated range
2+ yrsMinimum
14 H-1B approvalsDept. of Labor
TCP/IPRoutingFirewallsVPNsLinux internalsEdge/IoT architecturesPythonTypescriptGoSQLEscalation frameworksSupport toolingExecutive communication

About the company

Voxel enhances workplace safety and operational efficiency by transforming existing security cameras into intelligent monitoring systems.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
14H-1B approved
93%approval rate
6new H-1B hires
$213,069median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20245
20253
20264
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20252
20265
Top sponsored roles
Senior Software EngineerDirector of EngineeringSenior Software Engineer - DevOpsSoftware Engineer 2Senior Software Engineers

Job description

Summary

Voxel is transforming workplace safety and operational efficiency through AI-driven computer vision technology. As a Tier 3 Support Engineer, you will be the deepest technical escalation point, owning complex, high-severity issues and collaborating with Engineering to drive permanent fixes.

Responsibilities

  • Own resolution of the most complex, high-severity escalations across Voxel's platform, including issues spanning edge hardware, networking, AI inference, and cloud infrastructure
  • Conduct root cause analysis at the code, configuration, and infrastructure level, partnering directly with Engineering to drive permanent fixes
  • Act as the authoritative technical escalation point for Tier 2, Customer Success, and Solutions Engineering teams
  • Interface directly with enterprise customer IT, security, and engineering stakeholders during critical incidents, providing clear communication and decisive guidance
  • Contribute to platform improvements by identifying systemic failure patterns and advocating for engineering investments that reduce support burden
  • Define and maintain advanced troubleshooting frameworks, escalation criteria, and internal knowledge resources for the broader support organization
  • Drive post-incident reviews and ensure learnings are documented and acted upon across teams
  • Participate in on-call rotations for critical escalations and high-priority customer environments

Skills

  • 2- 4 years of experience in technical support engineering, site reliability engineering, or a senior infrastructure/platform role
  • Deep expertise in networking and systems (TCP/IP, routing, firewalls, VPNs, Linux internals, edge/IoT architectures)
  • Ability to read and navigate source code (Python, Typescript, Go, and SQL) to diagnose issues and collaborate effectively with engineering teams and push PRs to edit configuration files
  • Proven track record of owning and resolving high-severity, multi-stakeholder incidents end-to-end
  • Strong executive communication skills; able to lead technical bridges with enterprise customers under pressure
  • Experience building internal technical documentation, escalation frameworks, or support tooling
  • Hands-on experience with AI/ML inference pipelines, computer vision systems, or video analytics platforms
  • Familiarity with cloud infrastructure and observability tooling (AWS/Azure/GCP, Datadog, Grafana, etc.)
  • Background in warehouse, logistics, manufacturing, or industrial environments
  • Relevant certifications (Network+, Security+, AWS Cloud Practitioner)

Qualifications

Must Haves

  • 2- 4 years of experience in technical support engineering, site reliability engineering, or a senior infrastructure/platform role
  • Deep expertise in networking and systems (TCP/IP, routing, firewalls, VPNs, Linux internals, edge/IoT architectures)
  • Ability to read and navigate source code (Python, Typescript, Go, and SQL) to diagnose issues and collaborate effectively with engineering teams and push PRs to edit configuration files
  • Proven track record of owning and resolving high-severity, multi-stakeholder incidents end-to-end
  • Strong executive communication skills; able to lead technical bridges with enterprise customers under pressure
  • Experience building internal technical documentation, escalation frameworks, or support tooling

Nice to Haves

  • Hands-on experience with AI/ML inference pipelines, computer vision systems, or video analytics platforms
  • Familiarity with cloud infrastructure and observability tooling (AWS/Azure/GCP, Datadog, Grafana, etc.)
  • Background in warehouse, logistics, manufacturing, or industrial environments
  • Relevant certifications (Network+, Security+, AWS Cloud Practitioner)

Benefits

  • Extensive / generous health, dental, and vision insurance
  • Highly competitive paid parental leave and support system
  • Ownership in the business through an Equity Incentive Plan
  • Generous paid time off and / or flexible work arrangements
  • Daily meals in-office, vibrant company events, team-building
  • 401K retirement plan, HSA options, pre-tax commuter benefits

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