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Build portable infrastructure and deploy Claude across multiple clouds, designing provider-agnostic abstractions and tooling so engineers can run workloads anywhere without cloud-specific expertise.
The Staff+ Software Engineer will lead the design and operation of Anthropic's core authentication, authorization, and identity platform. This role involves building secure, scalable systems for human and agentic access across all Anthropic products and enterprise offerings.
Lead the full lifecycle of datacenter servers, from secure provisioning to decommissioning, ensuring reliability and trusted compute for AI workloads using automation, hardware expertise, and security standards.
Lead the technical strategy for Anthropic’s Claude API, defining multi-year roadmaps and guiding distributed systems that power AI model access for developers and enterprises.
The Staff+ Software Security Engineer will design and build complex security systems to protect Anthropic's AI infrastructure, including identity management, supply chain security, and secure frameworks. This role involves leading cross-functional initiatives and mentoring engineers to ensure the safety and reliability of large-scale AI systems.
Staff+ engineer at Anthropic owning developer productivity infrastructure for the company's monorepo—designing build systems, CI/CD pipelines, and tooling that integrates Claude into engineering workflows. Works with Python, Rust/Go, and large-scale distributed infrastructure across multiple cloud providers.
The Staff+ Software Engineer will lead the technical strategy for configuration and experimentation infrastructure, building scalable systems to support safe code deployment and data-driven decision-making across Anthropic's research and production environments. The role focuses on developer productivity using Python, Rust, or Go to enhance feature flagging and A/B testing platforms.
Designs and scales Kubernetes control planes for AI compute fleets, extending the scheduler and core services to handle thousands of accelerators across multiple clouds.
Senior engineer designs and scales AI compute infrastructure, automating GPU/TPU cluster health and repair across multiple clouds to support frontier AI models.
Lead the design and lifecycle of AI compute clusters, automating provisioning, security, and fault tolerance across cloud and on-prem to power Anthropic’s frontier models.
Staff+ engineer on Anthropic's Claude App Infrastructure team, building sandboxed compute environments, state management for long-running agent tasks, and auth/observability frameworks for Claude's agentic capabilities using Python/Go/Rust on GCP/AWS/Azure.
Build and operate Anthropic’s large-scale distributed systems (Kubernetes, databases, observability) that power AI model training and serving, while leading multi-month infrastructure projects and setting technical standards.
Build and operate the production infrastructure that powers Claude’s safety systems, including backend services, observability, and deployment tooling across multiple cloud platforms.
The Senior Software Security Engineer will protect Anthropic's AI infrastructure by designing cryptographic foundations, managing identity and secrets, and hardening CI/CD pipelines. The role requires strong programming skills in Python, Go, or Rust and experience with cloud security controls to ensure the safety of large-scale AI systems.
Build and optimize low-level networking systems for AI workloads, interfacing accelerators with high-speed networks using kernel/user-space techniques like XDP, RDMA, and eBPF.
Build and operate AI-driven security systems for an AI company, including LLM-powered code analysis, automated vulnerability remediation, and threat modeling for novel agentic systems.
Systems Engineer - Linux Kernel & Virtualization Summary We're a well-funded, stealth startup building a new end-to-end personal computing platform. For this role, the primary responsibility is to build,…
Build and embed machine learning models for on-device inference in a Go-based detection engine, optimizing for performance and low resource usage to secure enterprise data for AI adoption.
Designs scalable backend services and APIs using Python/Rust for a deeptech startup, collaborating with engineers/scientists on platform-layer development.
Augur is seeking a Backend Engineer to build distributed systems and data infrastructure for their sensor integration platform. The role involves working with a Rust and Python stack to manage high-throughput data pipelines and storage at scale.
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