Senior Backend Software Engineer, Video Engineering
Confirmed live in the last 24 hours
Twelve Labs
Job Description
Who we are
At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
About the Role
As a Senior Backend Software Engineer at TwelveLabs, you’ll build the server-side infrastructure powering our new agentic application layer. You'll join a small, high-impact team and own the critical transition from prototype to production-ready platform.
Must be based in the Pacific Time Zone for consideration.
Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
In this role, you will
Backend
Design and build backend services for video processing workflows — ingestion, transcoding, 4K export, metadata extraction, and timeline operations
Architect scalable, high-availability systems to support enterprise-grade video workloads across cloud-native infrastructure (AWS, GCP)
Build and optimize APIs that power real-time and async frontend workflows, including streaming data delivery and long-running job orchestration
Own performance and reliability for distributed video processing pipelines with low latency and high throughput requirements
Collaborate closely with frontend engineers on API design, data models, and streaming strategies
You may be a good fit if you have
5+ years building production backend systems and scalable APIs, based in Pacific Time Zone
Strong Python proficiency for backend services and tooling; comfort making pragmatic tradeoffs in a fast-moving product environment
Cloud-native development experience on AWS or GCP, including containerization (Docker, Kubernetes) and serverless patterns
Deep experience with distributed systems, microservices, and distributed job orchestration (queues, workers, retries, prioritization)
Hands-on experience with FFmpeg for transcoding, muxing, stream manipulation, and segment-based processing
Strong understanding of video codecs (H.264, H.265/HEVC, AV1), containers (MP4, MKV, WebM), and adaptive bitrate formats (HLS, DASH)
Experience building and operating scalable video transcoding and processing pipelines, including proxy generation and media normalization
Experience with backend-driven video editing workflows including timeline-based rendering, clip segmentation, and incremental re-processing
Experience with large-scale media storage and delivery (S3, blob storage, pre-signed URLs, range requests) and performance optimization techniques (parallel encoding, chunked processing, intermediate artifact caching)
Background in media, entertainment, or video streaming platforms; exposure to cloud-based media services (AWS MediaConvert, GCP Transcoder API, or similar) is
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