2 дня назад
Senior Infrastructure Engineer (AI Infrastructure)
98 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Infrastructure Engineer (AI Infrastructure): Operating and improving Kubernetes clusters, CI/CD systems, Linux environments, and infrastructure supporting AI accelerator hardware with an accent on incident response, automation, observability, and reliability. Focus on diagnosing cross-layer production issues, building alerting and runbooks, and maintaining scalable compute and demo environments through on-call operations.
Location: Remote, United States
Salary: $98,000–$150,000 per year, plus equity and bonus opportunities.
Company
develops software and hardware for generative AI, including AI accelerators and networking systems.
What you will do
- Own first response and end-to-end resolution for issues across Kubernetes clusters, GitLab CI runners, virtual machines, standalone systems, and product demo environments.
- Diagnose incidents across operating systems, cloud resources, conventional servers, AI accelerator hardware, and networking layers.
- Coordinate with IT and product software teams when incidents originate outside the infrastructure group.
- Turn recurring issues into automation, monitoring improvements, alerts, and operational runbooks.
- Perform upgrades, patching, certificate renewals, capacity checks, and other infrastructure operations.
- Participate in on-call coverage and contribute to infrastructure design and build work.
Requirements
- 2+ years of experience operating production Linux systems, including hands-on Kubernetes troubleshooting.
- Methodical debugging skills across multiple infrastructure layers.
- Experience scripting with Python and/or Bash.
- Familiarity with CI/CD systems, preferably GitLab.
- Working knowledge of DNS, routing, load balancing, TLS, monitoring, and observability.
- Clear communication during incidents and willingness to learn unfamiliar inference systems.
Nice to have
- Experience with GPU or accelerator nodes in Kubernetes.
- Infrastructure-as-code experience with Ansible or Terraform.
- Experience with DataDog, Prometheus, or Grafana.
- Bare-metal or on-premises infrastructure experience.
- CKA or CKAD certification.
Culture & Benefits
- Remote work in the United States.
- Medical, dental, and vision coverage.
- 401(k) and an inclusive rewards plan.
- Equity and performance-based bonus opportunities.
- Collaborative, inclusive environment focused on respect, direct communication, and continuous learning.
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