Full-Time

Infrastructure Engineer

Cloud

Confirmed live in the last 24 hours

Twelve Labs

Twelve Labs

51-200 employees

AI system for video content understanding

Data & Analytics
Enterprise Software
AI & Machine Learning

Mid

H1B Sponsorship Available

San Francisco, CA, USA

This is a hybrid position.

Category
DevOps & Infrastructure
Cloud Engineering
Required Skills
Kubernetes
Microsoft Azure
AWS
Terraform
Ansible
Google Cloud Platform
Requirements
  • Bachelor's or advanced degree in Computer Science, Engineering, or related technical field.
  • 5+ years of hands-on infrastructure deployment experience on AWS, Azure, GCP or any other cloud.
  • Deep knowledge of cloud infrastructure including Kubernetes, AWS, or Infrastructure as Code.
  • Excellent communication and interpersonal skills.
  • Participate in developing a strong culture of best practices within the team.
  • Strong analytical and problem-solving skills, with attention to detail and the ability to navigate complex technical challenges.
Responsibilities
  • Take part in the design, implementation and management of Twelve Labs cloud and on-premise solutions
  • Leading the build of single tenant architecture to accommodate enterprise customers on different cloud vendors
  • Architect Infrastructure as Code (IaC) using technologies such as Pulumi, Terraform, Ansible with mature CI/CD pipelines
  • Contribute to existing architecture and optimization of a highly utilized cloud infrastructure, ensuring scalability, security and efficiency
  • Champion best practices in security and compliance, ensuring our infrastructure is resilient against threats and aligned with industry standards, safeguarding customer data and trust in our platform
  • Ensure documentation for installation and troubleshooting
  • Collaborate with cloud service providers to ensure the infrastructure is designed for optimal performance

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 video content easily searchable and accessible for various industries.

Company Stage

Series A

Total Funding

$75M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

28%

1 year growth

130%

2 year growth

322%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $50 million Series A funding, co-led by NEA and NVIDIA's NVentures, provides substantial financial backing for future growth and innovation.
  • Partnerships with companies like CineSys and EMAM highlight Twelve Labs' expanding influence and potential for transformative industry collaborations.
  • Recognition as a 2023 Technology Pioneer by the World Economic Forum underscores the company's leadership and innovative capabilities in the AI sector.

What critics are saying

  • The rapidly evolving AI and video understanding market could see increased competition, potentially challenging Twelve Labs' market position.
  • Dependence on continuous technological advancements and high R&D costs may strain financial resources if not managed effectively.

What makes Twelve Labs unique

  • Twelve Labs' AI system excels in extracting and transforming video content into vector representations, enabling fast and scalable semantic search, which is a significant edge over traditional video search technologies.
  • The company's focus on providing an end-to-end infrastructure through an easy-to-integrate API makes it highly accessible for developers and product managers.
  • Their technology's ability to outperform both open-source and commercial models in video understanding sets them apart in the competitive AI landscape.

Help us improve and share your feedback! Did you find this helpful?