Чёткая ответственность на staff-уровне, масштабная инфраструктурная работа и связь с ведущим AI-продуктом делают роль заметной по влиянию; главный компромисс - регулярное присутствие в офисе и поездки.
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Офис и поездкиСовременный стекИнфраструктура для AIЧёткая зона ответственностиДежурстваВыше рынка
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, Deployment (AI): Building and operating deployment platforms, rollout systems, runtime configuration, feature flags, and artifact distribution for large-scale AI infrastructure with an accent on progressive delivery, health-gated promotion, rollback safety, and secure software supply chains. Focus on designing distributed control planes, extending support across Kubernetes, serverless, and edge workloads, and scaling agent-driven deployment and fleet-wide distribution.
Location: Remote-friendly, with travel required; staff are expected to work from one of the San Francisco, Seattle, or New York City offices at least 25% of the time, and some roles may require more office time.
Annual salary: $405,000–$485,000 USD.
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Set technical direction for major deployment-platform components and own their design, implementation, and production operations.
Build progressive delivery, health-gated promotion, automatic pause and rollback, and self-service deployment controls.
Design APIs and abstractions for engineers and AI agents, and extend the platform to Kubernetes, serverless, and edge workloads.
Operate runtime configuration and feature-flag systems with validation, gradual rollout, and fast rollback.
Build infrastructure-as-code workflows and scale artifact and configuration distribution across a large machine fleet.
Partner with Security, onboard teams to the platform, participate in on-call and incident response, and turn incidents into preventive guardrails.
Requirements
Proficiency in at least one backend or systems programming language such as Rust, Go, C++, or Java.
Experience leading the design, implementation, and operation of distributed systems or production infrastructure, including technical direction across teams.
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP.
Strong written and verbal communication skills.
Bachelor’s degree or an equivalent combination of education, training, and experience in a field relevant to the role.
Experience requirements will correlate with the internal job-level requirements.
Nice to have
Experience with large-scale deployment, release, or change-management systems; production on-call; or incident response.
Production Rust, progressive delivery, GitOps tools such as Argo CD or Argo Rollouts, and deep Kubernetes knowledge including controllers and operators.
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking.
Experience building feature-flag, experimentation, dynamic-configuration, artifact-distribution, or package-distribution systems.
Experience with software supply-chain security, high-throughput workflow engines, relational-database-backed control planes, or internal developer platforms.
Experience using AI agents in engineering work or building systems operated by agents.
Culture & Benefits
Collaborative work on large-scale AI research and infrastructure efforts with frequent research discussions.
Flexible working hours, generous vacation and parental leave, competitive benefits, and optional equity donation matching.
Visa sponsorship may be available; Anthropic makes reasonable efforts to support successful candidates and works with an immigration lawyer.
Office collaboration is expected at least 25% of the time, with travel required for the role.
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