13 часов назад
Tier 3 Support Engineer (AI)
125 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Tier 3 Support Engineer (AI): Resolving high-severity platform incidents across edge hardware, networking, AI inference, and cloud infrastructure with an accent on root cause analysis and enterprise incident leadership. Focus on diagnosing code and infrastructure failures, driving permanent engineering fixes, and building scalable escalation and troubleshooting frameworks.
Location: Remote
Salary: $125K–$150K annually, plus equity
Company
develops AI-driven computer vision technology for workplace safety and operational efficiency, helping enterprise organizations identify risks and reduce incidents.
What you will do
- Own the resolution of complex, high-severity escalations across edge hardware, networking, AI inference, and cloud infrastructure.
- Perform root cause analysis at the code, configuration, and infrastructure levels and partner with Engineering on permanent fixes.
- Serve as the technical escalation point for Tier 2 Support, Customer Success, and Solutions Engineering.
- Lead technical communication with enterprise IT, security, and engineering stakeholders during critical incidents.
- Identify systemic failure patterns, improve troubleshooting frameworks, and maintain escalation criteria and knowledge resources.
- Drive post-incident reviews and participate in on-call rotations for critical escalations.
Requirements
- 2–4 years of experience in technical support engineering, site reliability engineering, or a senior infrastructure/platform role.
- Deep knowledge of TCP/IP, routing, firewalls, VPNs, Linux internals, and edge/IoT architectures.
- Ability to read and navigate Python, TypeScript, Go, and SQL code, edit configuration files, and contribute pull requests.
- Experience owning high-severity, multi-stakeholder incidents from detection through resolution.
- Strong executive communication skills for leading technical bridges with enterprise customers under pressure.
- Experience creating technical documentation, escalation frameworks, or support tooling.
Nice to have
- Experience with AI/ML inference pipelines, computer vision, or video analytics platforms.
- Familiarity with AWS, Azure, GCP, Datadog, Grafana, or similar infrastructure and observability tools.
- Background in warehouse, logistics, manufacturing, or industrial environments.
- Network+, Security+, or AWS Cloud Practitioner certification.
Culture & Benefits
- Health, dental, and vision insurance.
- Paid parental leave and support programs.
- Equity Incentive Plan.
- Generous paid time off and flexible work arrangements.
- 401(k), HSA options, and pre-tax commuter benefits.
- Company meals, events, and team-building activities.
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