aikubernetesansibleterraforminfrastructure as codemlopsmachine learningcloud computinggpu computing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Вышеразвернуть
$215к-320к/год
$160к$180кмедиана$220к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.3к/мес ($3.7к - $5.4к)
88
Крутая вакансия
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Чётко очерченная senior-роль на стыке облачной инфраструктуры и AI, с влиянием на клиентов и развитие продукта; при этом работодатель не назван, поэтому сложнее проверить команду и контекст бизнеса.
Работодатель скрыт
Выше рынка
Современный стек
AI-инфраструктура
Влияние на продукт
Сильные льготы
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Cloud Solutions Architect (AI/ML): Designing and implementing scalable AI/ML solutions powered by GPU cloud environments with an accent on cloud-native architecture, MLOps, infrastructure as code, and customer enablement. Focus on optimizing machine learning pipelines, leading proof-of-concepts, and translating business requirements into performant, scalable, and cost-efficient systems.
Location: Remote from the United States or Canada
Compensation: $215K–$320K OTE, with higher expectations considered and up to $500K OTE possible; base usually up to $215K with some exceptions. OTE includes base, bonus, and RSUs.
Company
Cloud technology company building GPU cloud infrastructure that helps organizations develop and scale AI/ML solutions without large in-house teams or substantial upfront infrastructure costs.
What you will do
Advise customers through workshops, presentations, and training on GPU cloud technologies.
Translate business requirements into scalable, cloud-native solution architectures.
Design and document infrastructure-as-code deployments and technical guides with support engineers and technical writers.
Optimize customer ML pipelines for performance, scalability, and cost efficiency.
Represent customer use cases to product, engineering, and marketing teams while contributing to product and customer-success strategy.
Requirements
5–10+ years of experience in cloud computing roles, such as solutions architect, systems engineer, or developer.
Strong hands-on experience with infrastructure as code using Terraform or Ansible, and Kubernetes.
Excellent communication and presentation skills.
Strong customer-facing and problem-solving mindset.
Nice to have
Understanding of GPU computing for ML training and inference, including CUDA and OpenCL.
Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
Hands-on experience with TensorFlow or PyTorch.
Familiarity with AWS, Azure, Google, or NVIDIA cloud ML ecosystems.
Culture & Benefits
Flat structure with minimal bureaucracy and a focus on speed, ownership, and technical excellence.
Direct customer collaboration and influence on product direction.
100% employer-paid medical, dental, and vision coverage for employees and families.
401(k) with up to 4% employer match and immediate vesting.
Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
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