Senior Infrastructure Engineer

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, 100,000+ developers globally, and industry giants like OpenAI, Character AI, Spotify, and Meta.

• obsess with crafting code that is fast, reliable and practical for the problem

• are known as the go-to person for tackling tough technical problems

• work hard and can build and ship fast

• can clearly explain complex technical concepts to others

• are a fast learner, frequently picking up new languages and tools

The best way to impress us is with thoughtful Issues and/or PRs on our Github repos 😊

LiveKit is on a mission to help developers create and scale real-time experiences. We are hiring a Software Engineer / Site Reliability Engineer to help manage and scale the core components of the LiveKit infrastructure. Reliability and performance of our globally distributed architecture is critical and a top priority.

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  Build and own the foundational infrastructure that our products run upon.

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  Work directly on our products' golang code base to implement SRE related objectives.

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  Take a data driven approach to quantifying system performance and reliability and use it to drive project priorities.

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  Oncall participation including leading incident management for complex situations.

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  Work on automation and advanced configuration management to allow our team to manage large numbers of clusters distributed across the world running various products.

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  Work with infrastructure vendors when their solutions aren't meeting our real time performance and reliability needs.

• A balance of strengths in both software engineering and large scale system administration.

• Experience managing complex multi-region distributed systems running on top of container orchestration systems like Kubernetes.

• Passionate about maintainability and keeping system complexity at bay, but able to balance this with meeting launch deadlines.

• Incident management training and experience being an Incident Commander.

• Experience with Linux networking, overlay networks, and Kubernetes CNIs.

• Low level knowledge for troubleshooting and tuning latency sensitive workloads.