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A senior engineer at Vanta designs and leads scalable SaaS systems for security compliance automation, guiding technical strategy and mentoring teams to support enterprise customers.
Develops safety-critical embedded flight software for a hybrid-electric aircraft, including control systems, fault tolerance, and test infrastructure, collaborating with cross-functional teams to architect and deploy aircraft software.
Staff Software Engineer – AI & Platform Confidential client engagement — company details will be shared during the interview process. The Opportunity We are supporting a high-growth digital consumer business in the…
Build and maintain AI-powered coding tools for developers, integrating LLMs, tool-use, and orchestration patterns across full-stack environments like React UIs and VS Code plugins.
Build privacy-preserving AI systems at scale, designing architectures with techniques like differential privacy and secure multi-party computation while embedding GDPR/CCPA compliance into Claude’s training and inference pipelines.
Lead the engineering practice for GTM systems at Anthropic, designing CI/CD pipelines, AI-assisted workflows, and scalable platforms that process sales transactions and organizational data.
Designs and maintains the infrastructure that powers AI research workflows, focusing on Python-based frameworks and distributed systems to enable reliable reinforcement learning and agentic environments.
Designs and maintains the infrastructure and APIs that power reinforcement learning for AI coding agents, focusing on reliability, scalability, and researcher productivity.
Designs and implements data-driven experiments to grow user acquisition, engagement, and monetization for AI-powered tools, collaborating with cross-functional teams.
Staff-level engineer on Anthropic's Capacity Engineering team building production systems to plan, measure, and optimize utilization across one of the largest AI infrastructure fleets in the industry. Work spans data pipelines (Python/BigQuery), Kubernetes-native observability (Prometheus/Grafana), capacity planning tooling, and cost attribution — with direct impact on eight-figure monthly spend a
Builds and maintains the shared web infrastructure, APIs, and tooling that power Anthropic's Claude.ai product across web and mobile, focusing on developer experience, reliability, and performance.
The Staff Software Engineer will lead the technical design and delivery of enterprise-facing products that integrate Claude into knowledge worker workflows. This role involves cross-functional collaboration with product, design, and research teams to build scalable AI-driven applications.
The Staff Software Engineer will build and operate Anthropic's managed caching layer, including a Redis fleet and CDC-driven invalidation systems. This role focuses on optimizing latency and reliability for AI infrastructure through distributed systems design and internal developer tooling.
The Staff+ Software Engineer will architect and scale database infrastructure to support Anthropic's AI research and Claude product ecosystem. This role involves designing reliable, multi-cloud storage solutions and data movement pipelines to handle massive growth.
Leads the design and delivery of enterprise AI products that integrate AI models into organizational workflows, working closely with research, product, and customers to shape 0→1 capabilities in a fast-moving AI market.
Design and lead the enterprise-scale systems that make Anthropic's AI assistant deployable to large organizations, focusing on distributed architecture, security, and governance.
The Cloud Inference team builds and optimizes the backend infrastructure to serve Claude across multiple cloud providers, focusing on scalability, cost-efficiency, and reliable model deployment. Engineers in this role design cross-platform abstractions and manage capacity to support millions of users.
Staff/Senior engineer on Anthropic's Cloud Inference team to own the validation pipeline for Claude's inference server across AWS, GCP, and Azure. You'll build CI/CD infrastructure, performance baselines, and correctness checks that enable fast, reliable model launches to cloud platforms. Core technologies include distributed systems, Kubernetes, container orchestration, and LLM serving infrastruc
Staff+ engineer on Anthropic's public sector team building and deploying Claude AI products for U.S. government customers, working full-stack or backend across compliance-heavy environments like FedRAMP and classified networks.
Builds and scales the foundational infrastructure that powers Anthropic’s AI products, including service mesh, cloud-agnostic tooling, billing systems, and secure execution environments for developers.
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