Overview
In this role you own end-to-end delivery of real-time video, data and AI analysis on a sports content platform. You’ll work in a small, high-trust team focused on rapid, autonomous delivery and robust systems. You’ll shape architectures, manage complex pipelines and push for high-quality, secure, performant software. This is an AI-native engineering environment where you’ll leverage modern tooling to drive impact. You’ll join a mission to advance real-time analytics in live sports with scalable cloud-native systems.
Responsibilities
- own end-to-end delivery of real-time video, data, and AI analysis on the platform
- design and implement scalable, low-latency pipelines and architectures
- collaborate with cross-functional teams to ship high-quality features
- enforce code quality, security, and performance practices
- integrate AI/LLM capabilities into products and workflows
- maintain and evolve cloud-native infrastructure on AWS and related tooling
- advocate automation to reduce manual work and increase productivity
- stay current with rapid technology advancements and apply them to the product
Key requirements
- polyglot mindset with strong Java 21 backend proficiency
- Front-end experience with SolidJS (or React/Vue/Svelte with willingness to switch)
- experience integrating and building products with LLM APIs (OpenAI, Anthropic, Gemini, Grok, etc.)
- daily use of AI tools for productivity and AI workflow development
- engineering rigor: clean, tested, documented code with security and performance in mind
- agile, fast-moving environment with ownership and delivery focus
- forward-thinking and proactive automation
- high-impact, collaborative mindset
- humility with awareness of personal blind spots
- Java 21
- Kafka
- Postgres
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