[Remote] Senior Staff Infrastructure Engineer at Twelve Labs

United States

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$180,000 – $210,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SaaS, BiotechnologyIndustries

Requirements

Candidates must have 10+ years of experience as an infrastructure engineer, with hands-on experience in cloud environments like AWS, GCP, and Azure. Proficiency in Infrastructure as Code tools such as Terraform or Ansible, experience operating container-based workloads with Kubernetes, and scripting/automation skills in languages like Python, Go, or TypeScript are required. Experience designing and operating CI/CD pipelines is also necessary.

Responsibilities

The Senior Staff Infrastructure Engineer will design and build core infrastructure for an AI SaaS platform, operating across cloud and on-premise environments to support large-scale video AI foundation models. Responsibilities include designing and operating multi-tenant architectures, developing scalable CI/CD pipelines with Terraform automation, building flexible infrastructure spanning multiple cloud providers and on-premise setups, optimizing cloud infrastructure for security and efficiency with advanced monitoring and security frameworks, and designing scalable architectures to support new video AI models and services. The role also involves collaborating with product managers, engineers, and researchers.

Skills

Infrastructure Engineering

Cloud

On-premise environments

System Architecture

Video AI

Foundation Models

Multi-tenant architectures

CI/CD

Terraform

Automation

Performance Optimization

Security

Flexibility

SaaS Platform

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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