cover image
Twelve Labs Inc.

Twelve Labs Inc.

www.twelvelabs.io

1 Job

153 Employees

About the Company

The world's most powerful video intelligence platform for enterprises.

Listed Jobs

Company background Company brand
Company Name
Twelve Labs Inc.
Job Title
Senior Backend Software Engineer, Rodeo
Job Description
**Job Title** Senior Backend Software Engineer **Role Summary** Design, build, and scale the server‑side infrastructure that powers a video‑processing agentic platform. Own the end‑to‑end migration of prototype workflows to production, integrating multimodal AI inference and ensuring high availability, low latency, and scalable API delivery. **Expectations** - Deliver production‑grade backend services within an iterative high‑impact team. - Own performance, reliability, and scalability of distributed video pipelines. - Collaborate with frontend, research, and DevOps stakeholders to shape API contracts, data models, and observability. **Key Responsibilities** - Design and implement backend services for video ingestion, transcoding, 4K export, metadata extraction, and timeline operations. - Build RESTful, streaming, and asynchronous APIs that support real‑time and batch frontend workflows. - Architect cloud‑native, multi‑region systems on AWS or GCP using microservices, containers, and serverless patterns. - Integrate, deploy, and serve computer‑vision models (e.g., video resizing, scene detection, audio denoising) on the platform. - Create pipelines that bridge internal foundation models with third‑party CV services. - Own end‑to‑end production pipelines, including CI/CD, monitoring (Prometheus/Grafana), and operational observability. **Required Skills** - 7+ years of backend engineering experience with scalable web services and APIs. - Expertise in Python, RESTful API design, streaming, and async patterns. - Proven experience with microservices, distributed systems, and cloud‑native architecture (AWS or GCP). - Containerization (Docker, Kubernetes) and serverless development proficiency. - Hands‑on integration of ML/CV model inference in production environments. - Knowledge of video processing tools such as FFmpeg, AWS Media Services, or equivalent. - Familiarity with CI/CD pipelines, monitoring, and observability tooling. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or a related technical field. *(Preferred qualifications: advanced API design, model serving platforms, MLOps practices, media industry experience, AI‑powered product features.)*
Washington, United states
Remote
Senior
10-03-2026