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LiveKit

Senior Software Engineer, Distributed Systems

LiveKit is hiring a Senior Software Engineer, Distributed Systems for a remote role. It pays $135k-$300k a year and Level rates it ; you can apply on LiveKit.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions OpenAI, Go and Grpc among its tools and skills.
  • Level classes it as a senior role.
  • LiveKit has 29 other open roles on Level.

AI in this role

Build and scale core distributed systems infrastructure powering multimodal AI interfaces and real-time communication at LiveKit.

OpenAIGoGrpcRaftNatsKubernetesPrometheusOpentelemetryClickhouse
distributed-systemsbackendinfrastructurenetworking

About LiveKit

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.

About This Role

We're looking for a Senior Engineer to work across some of the most technically demanding parts of LiveKit's platform — core services, telephony, and observability. At LiveKit, the infrastructure is the product — you're not building the layer underneath, you are the layer.

You'll work on problems where latency, availability, and operational simplicity are critical, and where the right answer often requires careful tradeoffs and outside-the-box thinking. While distributed systems experience is valuable, we care just as much about strong programming fundamentals, sound judgment, and the ability to learn fast. The team is small. Your decisions ship directly into production.

You'll thrive as a Distributed Systems Engineer if you:

  • 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 😊

What You'll Do

  • Design and evolve 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

  • Technologies include: Go, psrpc, gRPC, Raft, NATS, Kubernetes, Prometheus, OpenTelemetry, ClickHouse

Who You Are

  • You have experience designing and delivering distributed systems in production

  • You take ownership end-to-end - prototype, test, ship, monitor, and iterate

  • You're comfortable with consensus, coordination, and the realities of distributed failure modes

  • You think in terms of data flow, state, performance, and correctness, and you can reduce complex systems into understandable components

  • You value clear communication, practical engineering, and building systems that others enjoy working with

Nice to Have

  • Go fluency — if you haven't written Go yet, you've been meaning to

  • Hands-on experience with pub/sub, RPC, or coordination systems (NATS, etcd, Raft, Paxos)

  • Exposure to real-time or low-latency infrastructure — you know what microseconds feel like

  • You've shipped observability tooling you'd actually want to use (tracing, metrics, at-scale logging)

  • In those school group projects, you did most of the work (:sigh:)

We offer

  • The opportunity to shape the brand of a fast-growing developer platform

  • Collaboration with a small, senior team that deeply values craft and creativity

  • Competitive salary and equity package

  • Health, dental, and vision benefits

  • Flexible vacation policy

LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.

How we rate this

Senior Software Engineer, Distributed Systems at LiveKit rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsBackendInfrastructureNetworkingOpenAIGoGrpcRaft

Also common in software engineer jobs at this level

Pay

This job starts at
$135k
Typical software engineer job
$168k

This posting starts 19% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where backend was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where networking was part of your work. What did you do?
  5. Walk me through how you've used OpenAI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Backend, Infrastructure, Networking, and OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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