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Outlier is hiring worldwide — AI Trainers, Coding Experts & Writing EvaluatorsFreelance • Fully remote • $15–$60/hr • Work when you wantBrowse Outlier roles on MMagic.ai →
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Senior Backend Engineer

ElevenLabsCompensation undisclosedRemote (Global)Posted 1w ago
PythonRustPostgreSQLRedisKubernetesDistributed SystemsWebSocketsgRPCAWSGPU Infrastructure

About the role

As a Senior Backend Engineer at ElevenLabs, you will be a core architect of the world’s most advanced AI audio platform, directly impacting how millions of users interact with synthetic speech. You will tackle unique engineering challenges at the intersection of high-throughput distributed systems and low-latency generative AI inference. Your work will enable our infrastructure to seamlessly handle billions of requests while maintaining the sub-second latency required for real-time conversational AI and professional dubbing.

Responsibilities

- Architect and implement highly scalable microservices to support rapid growth in API traffic and user-generated content. - Optimize our audio streaming architecture to minimize Time-to-First-Byte (TTFB) for real-time voice synthesis. - Design resilient data models and database migrations that support billions of rows without downtime. - Collaborate with ML Research Engineers to productionalize new generative models and optimize inference pipelines. - Build robust monitoring, logging, and alerting systems to ensure 99.99% availability of our core synthesis engine. - Lead code reviews and mentor junior engineers, fostering a culture of technical excellence and rapid iteration. - Enhance our developer ecosystem by improving API documentation, SDKs, and integration tooling.

Requirements

- 7+ years of experience building and scaling high-traffic distributed systems in production environments. - Deep expertise in Python and/or Rust, with a strong understanding of asynchronous programming and concurrency patterns. - Proven track record of managing large-scale PostgreSQL deployments and implementing complex caching strategies with Redis. - Hands-on experience with Kubernetes, Docker, and cloud-native infrastructure (AWS or GCP) at massive scale. - Strong understanding of API design principles and experience building high-performance WebSockets for streaming data. - Experience with GPU orchestration and optimizing the data pipeline between backend services and ML inference engines. - Ability to work autonomously in a fast-paced, remote-first environment with a global team.
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