Сочетание огромной зарплаты, работы над передовой AI-инфраструктурой и четкого scope уровня Staff+ в топовой AI-лаборатории делает это предложение редким шансом.
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Дежурства и on-callКосмическая зарплатаПередовой стекТрендовый доменВлиятельная рольОтличные бенефиты
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Текст:
Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, Platform Connectivity (AI): Building the MCP proxy, OAuth and token management systems, and enterprise permission controls that connect Claude to external systems with an accent on reliability, authentication, and scalable platform infrastructure. Focus on designing distributed systems, operating production services with SLOs and incident response, and shaping the MCP standard and its Python and TypeScript SDK ecosystem.
Location: London, UK or San Francisco, CA. Staff are expected to work from one of the offices at least 25% of the time. Preference is given to candidates based in New York, Seattle, San Francisco, or the Bay Area.
Annual salary: $405,000–$485,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Design, build, and operate the MCP proxy and OAuth and token management systems behind external tool calls.
Own reliability for critical connectivity infrastructure, including SLOs, on-call operations, incident response, and postmortems.
Build enterprise admin controls and permission models for governing agent capabilities.
Contribute to the MCP specification, its ecosystem, and the official Python and TypeScript SDKs.
Scope complex multi-month projects, make architectural decisions, and align partner teams across the organization.
Partner with research teams to productize advanced AI capabilities and validate platform solutions in products.
Requirements
Experience as a backend or platform engineer.
Experience operating production distributed systems at scale, including reliability, observability, and incident response.
Ability to take ownership from system design through implementation, deployment, operations, and iteration.
Ability to navigate ambiguity, make independent technical decisions, and work across teams and time zones.
Excellent communication and consensus-building skills.
Bachelor’s degree or equivalent education, training, or experience in a relevant field.
Nice to have
Experience working in both early-stage and mature team or company environments.
Familiarity with using AI tools as part of software development.
Experience contributing to product-focused platform solutions.
Culture & Benefits
Collaborative environment combining research, engineering, policy, and business expertise.
Flexible working hours and office collaboration.
Generous vacation and parental leave.
Competitive compensation and optional equity donation matching.
Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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