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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Intelligence Tools & Platform Engineer - Video and Edge

ByteDance
Singapore
Estimasi Gaji
SGD 120.000 – SGD 180.000
Live Update
3 Juni 2026
Batas Akhir
3 Jun 2027

Deskripsi Pekerjaan

Join ByteDance's cutting-edge Video & Edge division as a Senior Intelligence Tools & Platform Engineer. You'll architect and develop the next-generation media content distribution infrastructure that powers our global Video on Demand (VOD) and live streaming platforms. This role sits at the intersection of AI, edge computing, and video processing, where you'll build scalable systems that deliver seamless, low-latency experiences to millions of users worldwide.

You'll collaborate with cross-functional teams to optimize edge-based intelligence tools, implement robust monitoring frameworks, and drive innovation in media processing pipelines. The position offers the opportunity to work with state-of-the-art technologies in a fast-paced environment that values creativity and technical excellence.

ByteDance provides a dynamic workplace where engineers tackle complex challenges while shaping the future of digital media. We offer competitive compensation, professional growth opportunities, and the chance to impact how people consume content globally.

Tanggung Jawab

  • Design and implement scalable tools for video processing and edge intelligence systems
  • Architect distributed platforms supporting VOD and live streaming at global scale
  • Optimize AI model deployment and inference in edge computing environments
  • Develop CI/CD pipelines and automation for continuous delivery
  • Create monitoring solutions ensuring 99.99% platform availability
  • Lead technical initiatives for low-latency media distribution
  • Mentor junior engineers and conduct code reviews

Kualifikasi

  • 5+ years experience in distributed systems and video streaming platforms
  • Expertise in Python, Go, or C++ for high-performance applications
  • Strong background in edge computing and containerization (Docker/Kubernetes)
  • Knowledge of video streaming protocols (HLS, DASH) and media codecs
  • Experience with cloud platforms (AWS/GCP/Azure) and microservices
  • Proficient in building monitoring and observability systems
  • Strong problem-solving skills with system architecture expertise

Keahlian yang Dibutuhkan

Python Go Kubernetes Docker AWS GCP HLS DASH AI/ML CI/CD Distributed Systems Video Streaming Edge Computing Monitoring

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