7 дней назад
Staff+ Software Engineer, Platform Distribution (AI)
405 000 - 485 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff+ Software Engineer, Platform Distribution (AI): Building a cloud-native, managed Claude API platform across AWS, GCP, Azure, and Anthropic infrastructure with an accent on distributed systems, enterprise security, compliance, and data residency. Focus on designing cross-cloud integrations, shipping enterprise enablement features, and leading large-scale infrastructure projects from design through production and operations.
Location: San Francisco, CA or New York City, NY; hybrid attendance at one of the company offices at least 25% of the time. Preference is given to candidates based in New York or the Bay Area.
Annual salary: $405,000–$485,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
- Build the Claude Platform as a cloud-native managed product across AWS, GCP, Azure, and Anthropic infrastructure.
- Bring the API, control plane, and Anthropic features to cloud service provider platforms through cross-cloud and native integrations.
- Develop enterprise capabilities including key management, encryption, audit APIs, usage visibility, access control, and international data residency.
- Partner with Infrastructure, Systems, Networking, Databases, Inference, and cloud provider teams on complex technical challenges.
- Lead ambiguous, cross-team infrastructure projects from design through deployment, production, and operations.
Requirements
- At least 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally at tech lead level or equivalent.
- Experience owning large-scale infrastructure systems and independently leading cross-team technical projects.
- Experience with AWS, GCP, or Azure at scale and/or multi-tenant Enterprise SaaS.
- Background in security, compliance, data residency, regulated environments, or sovereign cloud environments.
- Proficiency in Python, Go, Rust, or a similar systems language.
- Bachelor’s degree or equivalent education, training, or professional experience.
Culture & Benefits
- Collaborative environment focused on large-scale AI research and high-impact work.
- Frequent research discussions and strong emphasis on communication.
- Competitive compensation with benefits and optional equity donation matching.
- Generous vacation and parental leave, flexible working hours, and office-based collaboration.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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