[Remote] Staff Infrastructure Engineer - Government at Twelve Labs

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, Government TechnologyIndustries

Requirements

Candidates should have 10+ years of experience as an infrastructure engineer, with hands-on experience building and operating infrastructure in cloud environments like AWS, GCP, and Azure, specifically within GovCloud or air-gapped settings. Proficiency in Infrastructure as Code tools such as Terraform or Ansible, experience operating container-based workloads with Kubernetes, and scripting/automation skills in Python, Go, or TypeScript are required. Experience designing and operating CI/CD pipelines and infrastructure architectures aligned with security and compliance standards, including audit support, is also necessary. A US citizenship is mandatory, and an active government security clearance is preferred.

Responsibilities

The Staff Infrastructure Engineer will design, build, and operate secure and scalable infrastructure for multimodal foundation models and indexing platforms in GovCloud or air-gapped environments. This includes automating deployments with Terraform and Ansible, establishing CI/CD and software-supply-chain controls, and delivering robust observability and incident response. Responsibilities also involve optimizing for security, compliance, and efficiency, standing up observability with clear SLOs and actionable alerting, owning incident response playbooks, and building air-gapped delivery pipelines with signed artifacts and SBOMs for software-supply-chain integrity.

Skills

Infrastructure Engineering

GovCloud

Air-gapped environments

Terraform

CI/CD

Software Supply Chain Security

Observability

Incident Response

Multimodal Models

Indexing Platforms

Security

Scalability

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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