Required Chief Software Architect
We are scaling rapidly – powering live sports production globally, expanding AI-driven highlight and analytics platforms, and building the next generation of athlete and fan-facing experiences. We are looking for a Chief Software Architect to lead the evolution of our end-to-end sports AI technology stack. Youll be responsible for harmonizing our cloud portfolio, integrating streaming infrastructure for over 1.5 million games, ML/AI pipelines, and consumer-facing apps with millions of users into a seamless, scalable solution.
As part of your role, you will:
Establish a unified platform strategy – define the shared services, common data models, and API standards that allow our streaming, ML, and consumer products to continue and scale as a holistic, integrated ecosystem.
Own cloud software architecture – define and maintain the end-to-end architectural vision and practice all the way from streaming to real time analysis and ML and to our data and SaaS solutions.
Drive cross-team alignment – run architecture reviews and design forums; align autonomous engineering teams on a shared technical roadmap.
Lead scalability & performance strategy – identify and eliminate bottlenecks across services, technical silos, redundant infrastructure. compute, storage, and data flows to support 10x growth.
Own security architecture – Build a security-first architecture that automates privacy compliance (GDPR/COPPA) across the entire video and data lifecycle.
Mentor and elevate engineering – act as the go-to technical authority for cross-cutting design challenges and raise the architectural bar across teams.
Leverage AI to accelerate – champion AI-first thinking and tooling across engineering workflows.
We are scaling rapidly – powering live sports production globally, expanding AI-driven highlight and analytics platforms, and building the next generation of athlete and fan-facing experiences. We are looking for a Chief Software Architect to lead the evolution of our end-to-end sports AI technology stack. Youll be responsible for harmonizing our cloud portfolio, integrating streaming infrastructure for over 1.5 million games, ML/AI pipelines, and consumer-facing apps with millions of users into a seamless, scalable solution.
As part of your role, you will:
Establish a unified platform strategy – define the shared services, common data models, and API standards that allow our streaming, ML, and consumer products to continue and scale as a holistic, integrated ecosystem.
Own cloud software architecture – define and maintain the end-to-end architectural vision and practice all the way from streaming to real time analysis and ML and to our data and SaaS solutions.
Drive cross-team alignment – run architecture reviews and design forums; align autonomous engineering teams on a shared technical roadmap.
Lead scalability & performance strategy – identify and eliminate bottlenecks across services, technical silos, redundant infrastructure. compute, storage, and data flows to support 10x growth.
Own security architecture – Build a security-first architecture that automates privacy compliance (GDPR/COPPA) across the entire video and data lifecycle.
Mentor and elevate engineering – act as the go-to technical authority for cross-cutting design challenges and raise the architectural bar across teams.
Leverage AI to accelerate – champion AI-first thinking and tooling across engineering workflows.
Requirements:
10+ years of software engineering, with 5+ years as a principal/chief architect owning architecture across multiple systems at scale. Vast experience in Kubernetes, Node.js, Python, Snowflake, Kafka, GCP/AWS and databases.
Cloud-native mastery – deep hands-on with AWS distributed systems design. Clear understanding of trade-offs behind every recommendation.
Streaming & media fluency – experience with HLS, RTMP, broadcast transport (Zixi or equivalent), CDN architecture, and live event pipelines.
Microservices & API depth – track record designing scalable REST/gRPC/event-driven architectures and decomposing monoliths into well-bounded services.
ML/AI platform experience – familiarity with inference pipelines at scale, GPU compute orchestration, and workflow orchestration.
Security architecture – hands-on experience with all aspects of SW security including secrets management, stream security, cloud posture, and GDPR/COPPA data governance.
Multi-tenant SaaS architecture – per-tenant isolation, billing models, and operational patterns at scale.
Communication & influence – ability to drive alignment across teams without direct authority and translate trade-offs for engineering and executive audiences alike.
FinOps track record – executing large scale compute and storage cost reduction including GPU workload optimization.
Bonus points if you have:
Edge / hardware-adjacent experience – Jetson, Balena, or similar edge compute and the cloud-edge boundary.
10+ years of software engineering, with 5+ years as a principal/chief architect owning architecture across multiple systems at scale. Vast experience in Kubernetes, Node.js, Python, Snowflake, Kafka, GCP/AWS and databases.
Cloud-native mastery – deep hands-on with AWS distributed systems design. Clear understanding of trade-offs behind every recommendation.
Streaming & media fluency – experience with HLS, RTMP, broadcast transport (Zixi or equivalent), CDN architecture, and live event pipelines.
Microservices & API depth – track record designing scalable REST/gRPC/event-driven architectures and decomposing monoliths into well-bounded services.
ML/AI platform experience – familiarity with inference pipelines at scale, GPU compute orchestration, and workflow orchestration.
Security architecture – hands-on experience with all aspects of SW security including secrets management, stream security, cloud posture, and GDPR/COPPA data governance.
Multi-tenant SaaS architecture – per-tenant isolation, billing models, and operational patterns at scale.
Communication & influence – ability to drive alignment across teams without direct authority and translate trade-offs for engineering and executive audiences alike.
FinOps track record – executing large scale compute and storage cost reduction including GPU workload optimization.
Bonus points if you have:
Edge / hardware-adjacent experience – Jetson, Balena, or similar edge compute and the cloud-edge boundary.
This position is open to all candidates.
