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LiveKit is revolutionizing the AI landscape by providing the essential network infrastructure that powers multimodal AI interfaces, enabling seamless audio and visual interactions. Founded in 2021, LiveKit has rapidly grown to support over 3 Billion calls annually, 200,000+ developers globally, and industry giants like OpenAI, Salesforce, Spotify, and Meta. We’re looking for a Senior/Staff Engineer to expand the foundations of LiveKit’s cloud platform. This is a role with broad technical scope and impact, working on shared systems that influence how LiveKit designs, operates, and scales its services. In this role, you’ll design and implement core elements of our infrastructure, from control plane components to internal libraries and tooling. You’ll work on complex systems where latency, availability, and operational simplicity are critical, and where solutions often require careful tradeoffs and outside-the-box thinking. While experience with distributed systems is valuable, we place equal importance on strong programming fundamentals, sound judgment, and the ability to learn quickly. You’ll be expected to approach problems from first principles, help shape technical direction through implementation, and raise the quality bar for systems others build on. Your work will have direct, lasting impact across LiveKit’s products and engineering organization.
Job Responsibility:
Design and build the core control, data, and observability systems that power LiveKit Cloud
Implement resilient, region-spanning architectures that degrade gracefully under partial failure
Build libraries, protocols, and tooling that raise reliability and developer velocity across the org
Diagnose and harden critical paths using metrics, tracing, testing, and real-world traffic insights
Shape new platform capabilities across identity, scheduling, observability, and distributed state management
Requirements:
Experience building and operating critical production services
Take ownership from design through implementation, deployment, and iteration
Learn quickly and aren’t intimidated by unfamiliar problem domains
Think clearly about data flow, state, performance, and failure modes, and can reduce complex systems into understandable components
Comfortable operating with incomplete information and evolving requirements
Value clear communication, practical engineering, and building systems that others enjoy working with