
Cloud Systems Engineer
1 week ago
Job Description:
The ideal candidate will be responsible for the design, deployment, and refinement of cloud-based optical tracking systems for sport. This role will work alongside Computer Vision Engineers and Full Stack Developers to lead efforts in deploying and scaling high-accuracy, low-latency ML pipelines on Google Cloud Platform.
- End-to-End ML/CV System Engineering: Design, implement, and maintain real-time, cloud-based ML pipelines for optical tracking (e.g., ball/player detection, multi-modal fusion)
- Cloud Infrastructure Management: Build and manage cloud infrastructure to support high-throughput video and 3rd party tracking data ingestion, model inference, and event streaming
- Model Integration and Training: Contribute to the training and tuning of ML models for live and autonomous sports data capture
- System Architecture and Deployment: Architect and deploy scalable and reliable systems on Google Cloud Platform using containers, Kubernetes, Pub/Sub, and serverless services
- Code Development and Maintenance: Write clean, modular, testable code across the stack (Python, TypeScript, React) and build APIs, data structures, and middleware that integrate computer vision outputs with downstream systems
- Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ Years Experience in Full Stack Software Engineering, with strong cloud (GCP mandatory) and machine learning system deployment exposure
- Demonstrated Experience designing and maintaining real-time ML pipelines on cloud infrastructure
- Proficiency in Building Scalable Web Applications using Next.js framework (highly desirable)
- Experience with Video and Time-Series Data Processing at Scale
- Flexible Hybrid Working Arrangements
- Financial Support for Remote Workspace Setup
- Vibrant Team Culture with Social Events
- Extensive Employee Benefits Package
We are a leading sports data company that has been at the forefront of delivering sports stats globally for over 20 years. We specialise in real-time data collection, storage, analysis, distribution, and visualisation, and we track every play and movement, delivering unbeatable game intel through seamless integration systems.
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