Высокоуровневая роль в одном из ведущих AI-лабов с исключительной зарплатой и четким scope для техлида в области облачной инфраструктуры.
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Очень высокая зарплатаТрендовый доменСовременный стекЧеткий scopeПотенциал роста
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Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, Platform Distribution (AI): Building a cloud-native Claude API and enterprise platform across AWS, GCP, Azure, and Anthropic infrastructure with an accent on cross-cloud integrations, security, compliance, and data residency. Focus on designing scalable distributed systems, enterprise access and audit capabilities, and multi-tenant infrastructure for regulated customers.
Location: San Francisco, CA or New York City, NY. Hybrid policy: staff are expected to work from an Anthropic office 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, including the Claude platform.
What you will do
Build the Claude Platform as a cloud-native managed product across AWS, GCP, Azure, and Anthropic infrastructure.
Integrate the Claude API, control plane, and Anthropic features into cloud service provider platforms.
Develop enterprise capabilities including key management, encryption, audit APIs, usage visibility, access control, and international data residency.
Lead large-scale infrastructure projects from design through production and operations.
Collaborate with Infrastructure, Systems, Networking, Databases, Inference, and cloud provider teams.
Requirements
At least 8 years of practical experience as a backend or platform engineer building scalable distributed systems.
Experience operating at a technical lead level or equivalent and independently leading ambiguous, cross-team projects.
Experience with cloud infrastructure at scale using GCP, AWS, or Azure.
Enterprise SaaS experience in multi-tenant environments, ideally involving security, compliance, data residency, regulated customers, or sovereign clouds.
Proficiency in Python, Go, Rust, or a similar systems language.
Bachelor’s degree or equivalent education, training, and professional experience in a relevant field.
Culture & Benefits
Collaborative environment focused on high-impact AI research and trustworthy AI systems.
Flexible working hours and an office-based hybrid work policy.
Generous vacation and parental leave.
Competitive compensation and benefits with optional equity donation matching.
Visa sponsorship is available, although eligibility depends on the role and candidate.
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