Found.dev
Role Highlights
Languages used
TypeScript
Key skills
Computer Science
API
CICD
API Design
AI
Browser
UI
Infrastructure
Reliability
Frontend
Testing
Architecture
Optimization
Deployment
Logging
Research
Physics
Biology
Interpretability
Multimodal
Tools, Libraries and Frameworks
Rest
Slack
HTTP
React
Description
The role involves building and maintaining the foundational infrastructure for a flagship consumer product. Responsibilities include designing shared components and abstractions to support various product teams. The position focuses on evolving backend-for-frontend APIs to ensure performance and reliability across multiple surfaces. Additionally, the role entails improving build, deployment, and observability systems to enhance developer productivity. The work directly impacts the speed and stability of innovation across the organization.
Required Qualifications and Skills
Candidates must have at least five years of software engineering experience, specifically in building shared platforms or developer tools. Proficiency in modern web technologies such as React and TypeScript is required, along with experience in API design. The role necessitates a strong understanding of reliability, observability, and performance in production systems. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Anthropic
Description
Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.
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