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Webrtc Developer Jobs in California (NOW HIRING)

... developer velocity. This is a high-ownership role where you'll make critical infrastructure ... Implement real-time communication infrastructure using WebSockets for chat and WebRTC for audio ...

Collaborate with AI/ML engineers to surface model outputs - compatibility scores, personalized ... Familiarity with WebSockets and WebRTC for real-time communication is a plus. * Passion for user ...

... WebRTC) * Knowledge of GraphQL and modern API design patterns * Experience with infrastructure as code (Terraform, CloudFormation) * Open source contributions * Experience building developer tools or ...

Learn and work with real-time communication technologies such as WebSockets, WebRTC, SIP, or RTP. Production and Platform Engineering * Monitor services using logs, metrics, traces, and dashboards.

Implement real-time communication features (audio/video/chat) based on WebRTC . * Collaborate with backend teams to ensure consistency in data models, APIs, and authentication flows. * Participate in ...

As a Founding Engineer, you will play a crucial role in developing new features, gathering user ... HTTP, WebRTC, WebSockets) and telephony systems • Experience with micro-service based ...

Showing results 41-60

Webrtc Developer information

What is a WebRTC developer?

A WebRTC Developer is a software engineer specializing in real-time communication technologies using the WebRTC framework. They design, develop, and optimize applications that enable audio, video, and data transfer directly between browsers or applications without requiring external plugins. Their responsibilities often include working with signaling protocols, optimizing media streaming, and ensuring low-latency communication. WebRTC Developers typically have expertise in JavaScript, WebRTC APIs, and networking concepts like STUN, TURN, and ICE.

What are the key skills and qualifications needed to thrive as a WebRTC developer?

To thrive as a WebRTC Developer, you need a strong understanding of real-time communication protocols, JavaScript programming, and experience with audio/video streaming technologies, typically supported by a relevant degree or equivalent experience. Familiarity with tools like WebRTC APIs, signaling servers, TURN/STUN servers, and frameworks such as React or Node.js is commonly required. Excellent problem-solving abilities, effective communication, and teamwork are key soft skills in this role. These skills ensure developers can create robust, efficient, and user-friendly real-time communication applications while collaborating across multidisciplinary teams.

What are some common challenges faced by WebRTC developers in day-to-day work?

WebRTC Developers often encounter challenges related to cross-browser compatibility, optimizing low-latency media streaming, and managing network interruptions or security concerns. Resolving issues with NAT traversal, debugging peer-to-peer connections, and ensuring smooth synchronization of audio and video can require creative problem-solving and ongoing learning. The role may involve frequent collaboration with backend engineers, UI designers, and QA testers to deliver seamless real-time experiences. Adapting to changing project requirements and new technologies is common, making flexibility and communication essential for ongoing success.

What job categories do people searching Webrtc Developer jobs in California look for?

The top searched job categories for Webrtc Developer jobs in California are:

Infographic showing various Webrtc Developer job openings in California as of September 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Backend Engineer - Known

Pear

San Francisco, CA • On-site

Full-time

Re-posted 19 days ago


Job description

About the Role
You'll be a core technical founder building the backend systems and infrastructure that power Known - from the APIs that will serve millions of requests, to the real-time communication pipelines that enable voice and text conversations, to the data architecture that supports intelligent matching at scale. You'll design systems that are reliable, performant, and ready to grow with our user base.
You'll work closely with the founding team (AI/ML, fullstack, product, and design) to architect backend services that handle complex workflows - streaming LLM responses, batch matching jobs, payment processing, and real-time chat - while maintaining simplicity and developer velocity. 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.

Requirements
  • 4-6 years building production backend systems, ideally in consumer products, high-traffic applications, or startups.
  • 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.
  • You think about security, data privacy, and compliance as first-class concerns.

Example Projects
  • Build a high-throughput API layer that serves personalized match recommendations, user profiles, and compatibility scores with sub-100ms response times.
  • Design and implement a background job system for processing batch matching algorithms, sending notifications, and generating analytics reports.
  • Create WebSocket infrastructure for real-time messaging with presence indicators, typing notifications, and streaming LLM-powered conversation suggestions.
  • Architect WebRTC signaling and media server infrastructure to support voice/video chat between users and AI voice agents.
  • Build payment and reservation integration workflows with idempotency guarantees, webhook handling, and comprehensive error recovery.
  • Implement a robust caching layer (Redis) that reduces database load and improves API response times across the platform.
  • Design database schemas and migration strategies that support rapid product iteration while maintaining data consistency and performance.
  • Expand monitoring and observability infrastructure with distributed tracing, performance profiling, and automated alerting for system health.

Why This Role
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 have the autonomy to make foundational technical decisions and the responsibility to ensure Known can grow from thousands to millions of users without missing a beat.