Member Of Technical Staff- SRE/Full Stack

Summary

Join our cloud team and build foundational infrastructure for the Large Action Model (LAM), a system enabling personalized agents to act as intermediaries between users and service providers. We're pioneering secure, scalable, and cloud-native solutions for real-time virtualized actions. This role involves tackling challenges like low-latency optimizations and system observability. You'll contribute to an innovative platform integrating AI, cloud technologies, and virtualization. The position requires expertise in backend and frontend technologies, database technologies, and building scalable systems. This is a remote opportunity located in Santa Monica, CA.

Requirements

• Proficient in backend languages like Python and TypeScript (Node.js) and frontend technologies like HTML5 and React
• Experience with application automation frameworks and technologies across web, Linux, Windows, and Android environments
• Hands-on experience with database technologies, including SQL and MongoDB, and a strong understanding of data modeling principles
• Expertise in writing concurrent, asynchronous, and parallel applications
• Familiarity with virtualization technologies and major cloud platforms (e.g., GCP, AWS, Azure)
• Proven experience in building scalable, resilient systems
• Knowledge of VNC technologies and their applications
• Experience with real-time communication protocols, including WebSocket and WebRTC
• Ability to work across teams, including applied AI and device platform teams, to integrate and optimize system components

Responsibilities

• Monitor and maintain the health of Kubernetes clusters and cloud services
• Develop internal frameworks for creating and managing LAM-powered agents
• Optimize key metrics such as latency, accuracy, and stability for frequently used LAM instances
• Implement and maintain the company’s web presence, including the web portal and website
• Manage and enhance the data collection platform for LAM
• Collaborate with the applied AI team to integrate AI workloads into the operating system (OS)
• Work closely with the device platform team to co-develop and optimize communication protocols between devices and OS