Spurtest

Spurtest

Backend Engineer - Known

San Francisco

Sponsorship not specifiedDetected 266 days ago
TypeScriptNode.jsBackend DevelopmentFull-Stack DevelopmentAlgorithmsPostgreSQLRedisAWSGCPCloud PlatformsDockerKubernetesCI/CDRESTWebSocketsMachine LearningData EngineeringLLMsA/B TestingDesign SystemsVoIPCommunication

About the role

  • This is a high-ownership role where you'll make critical infrastructure decisions and set the technical foundation for Known's growth.

Responsibilities

  • Design and build scalable backend services in Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines that support both real-time and batch workloads.
  • Architect and optimize database systems using Postgres - including schema design, query optimization, indexing strategies, and data integrity at scale.
  • Implement real-time communication infrastructure using WebSockets for chat and WebRTC for audio/video, ensuring low latency and high reliability.
  • Integrate and manage third-party services (OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, SMS/push notifications, CDNs) with robust error handling and monitoring.
  • Collaborate with AI/ML engineers to build APIs and data pipelines that serve model predictions, handle training data collection, and support experimentation workflows.
  • Own infrastructure, deployment, and observability - build CI/CD pipelines, implement monitoring and alerting, optimize cloud costs, and ensure system reliability as traffic scales.
  • Design for performance and scale - implement caching strategies, optimize API response times, and architect systems that can handle 10x growth without rewrites.
  • This is a chance to be the infrastructure architect of a consumer AI product from day one - to build backend systems that are elegant, scalable, and enable rapid product innovation.
  • You'll design systems that are reliable, performant, and ready to grow with our user base.

Requirements

  • Strong proficiency in TypeScript and Node.js with deep understanding of async patterns, performance optimization, and error handling.
  • Expert-level knowledge of Postgres - you're comfortable with complex queries, transactions, indexing, connection pooling, and performance tuning.
  • Experience designing and scaling RESTful APIs with attention to rate limiting, authentication, caching, and versioning.
  • Hands-on experience with cloud platforms (AWS, GCP) including compute, storage, databases, and networking services.
  • Familiarity with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code tools.
  • Experience with WebSockets and WebRTC for real-time communication systems.
  • Strong understanding of observability and monitoring - logging, metrics, tracing, and alerting best practices.
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This listing is sourced directly from Spurtest's careers page and normalized into a canonical job model.