10 часов назад
Senior Infrastructure Engineer
88 000 - 149 000₽
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Infrastructure Engineer (AI Infrastructure): Building and operating Kubernetes, bare-metal, hybrid-cloud, and on-premise platforms for development, simulation, and testing workloads with an accent on infrastructure automation, networking, storage performance, and platform security. Focus on creating reproducible engineering environments, improving CI/CD and self-service tooling, and solving complex reliability and cross-layer infrastructure challenges.
Location: On-site in London, UK, or Austin, TX
Salary: Starting from £88K in London or $149K in Austin
Company
develops the DX-1 decode accelerator, a rack-scale hardware platform designed to improve AI infrastructure performance and efficiency.
What you will do
- Design, provision, and operate Kubernetes and bare-metal infrastructure for development, simulation, and testing workloads.
- Build infrastructure-as-code and provisioning pipelines with Terraform and related automation tools.
- Develop CI/CD, internal tooling, and self-service workflows for hardware, software, and compiler engineering teams.
- Optimize VLANs, firewalls, VPNs, low-latency and high-bandwidth networking, and storage for ML and hardware workloads.
- Implement monitoring, alerting, capacity planning, and reliability improvements across hybrid-cloud and on-premise environments.
- Own platform security, including identity and access management, secrets management, data protection, threat detection, and system hardening.
Requirements
- 5+ years of experience in infrastructure, platform, DevOps, or SRE engineering, with end-to-end ownership of systems.
- Strong infrastructure-as-code and automation skills with Terraform, Ansible, Python, and Bash.
- Solid networking fundamentals and experience with hybrid-cloud and on-premise or bare-metal environments.
- Strong understanding of IAM, secrets management, network security, and infrastructure hardening.
- Ability to diagnose complex cross-layer issues and communicate infrastructure trade-offs with hardware and ML engineers.
- Bachelor's degree in computer science or a related field, or equivalent practical experience.
Culture & Benefits
- Meaningful stock options and ownership in the company.
- Employer-contributed retirement plans.
- Annual Living-Local Bonus for employees living within 20 minutes of the office.
- Eligibility to work at is subject to U.S. export control regulations and recent citizenship or permanent residency status.
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