SDE 3 - Backend (SportsAI)

The Tech team at SportsAI leverages Computer Vision and Deep Learning to transform raw match footage into real-time analytics, automated highlights, and AI-driven player ratings. Our stack is designed for high-performance compute and scalability: a Java backend supported by SQL/NoSQL datastores, React Native for cross-platform delivery, and a hybrid AWS/GCP infrastructure to power intensive workloads like the Ray framework.We architect complex solutions at the intersection of Video Engineering, AI, and Product. Your Role:

• Own end-to-end responsibility of design, architecture, development, deployment & monitoring phases
• Work on latest technologies to deploy AI/ML infra such as Temporal and Ray to scale complex, human-in-the-loop, retry logics in video processing workflows
• Bridge the gap between Product and AI, integrating asynchronous AI/ML pipelines and GenAI models (GCP Vertex AI) into the real-time user experience
• Understand and solve real business needs at a large scale by applying engineering and analytical problem-solving skills
• Develop and own features working in a distributed microservices environment
• Mentor engineers in the team and ensure standards are maintained at every level

Qualifiers:

• 6+ years of hands-on experience in any typed language, preferably Java and Python
• Working experience of GCP or any cloud stack
• Proven ability to build asynchronous, event-driven systems