Infra Engineer at Twelve Labs

Seoul, South Korea

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

AWS, GCP, Azure 등 클라우드 환경에서 인프라 구축 및 운영 경험
Terraform, Ansible 등 IaC(Infrastructure as Code) 도구를 활용한 자동화 및 아키텍처 설계 경험
Kubernetes, 컨테이너 기반 워크로드 운영 경험
Python, Go, TypeScript 등 언어를 활용한 스크립팅 및 자동화 경험
CI/CD 파이프라인 설계 및 운영 경험
Preferred Qualifications
인프라 엔지니어로서 8년 이상의 경력
엔터프라이즈 SaaS 환경에서 멀티 테넌트 아키텍처 설계 및 운영 경험
보안·컴플라이언스 표준에 맞춘 인프라 아키텍처 설계 및 감사 대응 경험
고도화된 모니터링 및 로깅 시스템 구축 경험
성능 최적화 및 비용 효율화를 동시에 고려한 인프라 운영 경험
영어 커뮤니케이션 가능

Responsibilities

글로벌 기업 고객을 위한 멀티 테넌트 아키텍처 설계 및 운영
Terraform을 통한 자동화와 확장성 높은 CI/CD 파이프라인 개발
AWS, GCP, Azure 등 다양한 클라우드 환경과 온프레미스를 아우르는 유연한 인프라 구축
고도화된 모니터링·보안 체계를 통해 안전하면서도 효율적인 클라우드 인프라 최적화
새로운 영상 AI 모델과 서비스를 가장 빠르게 지원하기 위한 확장 가능한 아키텍처 설계
PM, 엔지니어, 리서치와 협업하여 AI 제품을 현실로 구현

Skills

Key technologies and capabilities for this role

AWSGCPAzureTerraformAnsibleKubernetesPythonGoTypeScriptCI/CDIaC

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

The position is hybrid.

What skills are required for the Infra Engineer role?

Required skills include experience building and operating infrastructure in AWS, GCP, Azure; using Terraform, Ansible for IaC; Kubernetes for container workloads; Python, Go, TypeScript for scripting; and CI/CD pipeline design and operation.

What is the salary or compensation for this role?

This information is not specified in the job description.

What are Twelve Labs' core values?

Core values include being honest and reflective about oneself and the team, perseverance and humility without fearing failure and feedback, continuous learning to elevate team capabilities together, and enjoying the process of solving challenging problems and growing together.

What makes a strong candidate for this Infra Engineer position?

Strong candidates have 8+ years of infra engineering experience, multi-tenant architecture in enterprise SaaS, security/compliance design, advanced monitoring/logging, performance/cost optimization, and English communication skills.

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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