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Vacantes / Anthropic

Staff+ Software Engineer, Product Sandboxing

Anthropic · San Francisco, CA | New York City, NY | Seattle, WAsenior

En corto

  • ▸Construyes y mantienes el entorno seguro de ejecución para que Claude ejecute código, navegue y use computadoras.
  • ▸Trabajas en sistemas distribuidos escalables con enfoque en seguridad, arquitectura y producto, usando contenedores y cloud.
  • ▸Destaca por ser un rol clave en la capa entre el modelo y el mundo real, usada por cientos de miles de usuarios.

No se requiere inglés explícitamente, pero el puesto es en inglés.

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¿Qué piden?

  • ✓8+ años como ingeniero backend o de plataforma con sistemas distribuidos
  • ✓Fundamentos sólidos en arquitectura de servicios, redes y diseño de sistemas
  • ✓Experiencia con Python, Go, Rust o lenguajes de sistemas similares
  • ✓Conocimiento en infraestructura en la nube (GCP, AWS, Azure), Kubernetes y redes multi-nube
  • ✓Capacidad de tomar propiedad total del trabajo desde diseño hasta operaciones
  • ✓Enfoque productivo y experiencia en entornos con alta ambigüedad y escalabilidad

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonGoRustGCPAWSAzureKubernetesContainer orchestrationMulti-cloud networkingService-oriented architectures

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: • Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products • Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end • Are proficient in Python, Go, Rust, or similar systems languages • Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking • Take full ownership of your work—from design through deployment and operations • Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings • Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years

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