Lead Engineer - Hardware Platform (Camera Cloud & Edge)

Your Role

We develop the software powering ~10,000 smart cameras deployed on sports fields worldwide. These aren't isolated web services; they are complex distributed systems that must stay in sync with physical hardware across unreliable networks in unpredictable conditions.

We're hiring a Lead Engineer to autonomously own a core technical system of our camera platform—covering automatic capture, device connectivity, video pipelines, and fleet management. You will set the technical direction and deliver on a 6–12 month roadmap, navigating ambiguity to become the key technical anchor for the squad.

You will partner closely with engineering and product leadership, understanding the 'why' behind our decisions to empower the team. You will be trusted with critical components of Hudl’s core foundation, ensuring we consistently deliver value for our stakeholders and customers.

As a Lead Engineer, you'll:

• Own a system end-to-end. Define and deliver the technical roadmap for a multi-phase area, refining as it evolves and resolving cross-group dependencies before they become blockers.
• Prevent fires, not just fight them. Preemptively identify and resolve technical risks. When incidents do hit, you drive urgency and own resolution within your domain.
• Proactively make the system better. You see operational pain and tech debt as design feedback. Build the tooling, libraries, and runbooks that make it go away for everyone.
• Raise the bar. Through code reviews, design reviews, and mentorship, you set the standard for quality and level up the engineers around you.
• Ship reliably at scale. You roll out major features with monitoring, telemetry, and failure domains understood up front as a complete system.
• Think in terms of process and systems. You look beyond shipping code to iterate on team workflows and improve processes to drive better outcomes.

Must-Haves

• Autonomous systems ownership. You've owned a production technical system end-to-end — set its direction, delivered against a multi-month roadmap, and made independent calls under open-ended requirements.
• Distributed systems depth. You understand why systems break at scale, not just how to patch them. State, consistency, failure modes, and unreliable networks are familiar territory.
• Hardware or IoT (Internet of Things) experience.