Twelve Labs Inc. logo

Senior Infrastructure Engineer

Job Overview

Location

Seoul, South Korea

Job Type

Full-time

Category

DevOps & SysAdmin

Date Posted

April 7, 2026

Full Job Description

đź“‹ Description

  • • Senior Infrastructure Engineer at Twelve Labs Inc. designs and builds core infrastructure to ensure the AI SaaS platform operates stably and scalably, supporting video AI foundation models across cloud and on-premises environments.
  • • The role involves designing multi-tenant architectures for global enterprise clients, developing automated CI/CD pipelines using Terraform, building flexible infrastructure across AWS, GCP, Azure, and on-premises, optimizing cloud infrastructure through advanced monitoring and security systems, and collaborating with PMs, engineers, and researchers to bring AI products to life.
  • • Twelve Labs Inc. is a Deep Tech startup with offices in San Francisco and Seoul, recognized for four consecutive years in CB Insights’ Top 100 AI Startups, having raised over $110M from top-tier investors including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake, and uniquely deploying its video-specialized AI models via Amazon Bedrock in Korea.
  • • The Infrastructure team believes data determines AI model performance, building end-to-end high-quality data pipelines for multimodal AI training and evaluation, designing learning data to unlock new model capabilities, creating user-experience-reflected evaluation datasets, and developing internal tools to streamline these processes.
  • • In this role, you will optimize performance, security, and flexibility in a fast-paced startup environment, gain deep expertise in scalable AI infrastructure, contribute to globally impactful video AI applications used by major sports leagues, broadcast studios, and control centers, and grow alongside a team that values honesty, resilience, feedback, and continuous learning.

Skills & Technologies

Python
TypeScript
AWS
Azure
GCP
DevOps
Senior
Onsite

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About Twelve Labs Inc.

Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.

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