Anthropic предлагает очень высокую зарплату, понятную зону ответственности senior-уровня и значимую работу с AI-инфраструктурой; главные компромиссы - узкая юридическая специализация и обязательное присутствие в офисе.
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Актуальные технологииЗарплата выше рынкаСфера на подъёмеУзкая специализацияОбязательный офис
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Legal Tech (Cloud Infrastructure/Data Security): Building dedicated cloud environments, storage systems, and data pipelines for sensitive legal workloads with an accent on security, privacy, reliability, scalability, and auditability. Focus on translating legal requirements into production architectures, designing verifiable chain-of-custody controls, and solving complex infrastructure challenges across AWS and/or GCP.
Location: Remote-friendly with required travel and at least 25% office attendance in San Francisco, Seattle, or New York City.
Annual salary: $320,000–$485,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized legal workloads.
Design secure, private, reliable, scalable, and auditable architectures.
Translate requirements from Legal, Privacy, Security, Research, and Infrastructure stakeholders into practical technical solutions and delivery plans.
Support complex legal requests on controlled infrastructure with verifiable chain of custody.
Extend existing infrastructure to support new workflows and legal requests.
Explain technical concepts and constraints clearly to nontechnical stakeholders while delivering against fixed deadlines.
Requirements
Experience designing, building, and operating highly trusted production infrastructure and data systems.
Experience making architectural decisions across large, complex, multi-team environments, including code and systems not directly owned.
Ability to secure AWS and/or GCP cloud accounts end to end, including networking, storage, identity, encryption, and least-privilege access.
Ability to translate legal and privacy requirements into adoptable technical designs and implementations.
Strong verification, invariant-checking, ownership, prioritization, and communication skills.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
Software engineering experience focused on infrastructure, data, privacy, or security.
Experience with distributed processing, lakehouse table formats, or query engines.
Understanding of data pipelines, LLM training, provenance, or lineage.
Experience with secure enclaves, confidential computing, clean rooms, eDiscovery, litigation support, or records retention at scale.
Culture & Benefits
Collaborative environment focused on large-scale AI research and trustworthy AI systems.
Flexible working hours and a collaborative office environment.
Generous vacation and parental leave.
Competitive compensation, benefits, and optional equity donation matching.
Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
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