Senior Software Engineer - Streaming Infrastructure

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions.

About the team

The Streaming team builds and operates the systems that move live video, telemetry, and control data between Skydio drones and our cloud platform. These systems support customers and internal teams across growing fleets, including devices operating over limited or unreliable networks. We work closely with device, networking, cloud infrastructure, security, and product teams to keep real-time communication reliable and responsive when it matters most.

About the role

As a Senior Infrastructure Engineer on the Streaming team, you will build and operate the cloud infrastructure behind Skydio’s real-time streaming platform. You will work across Kubernetes, networking, deployment systems, and production services to improve reliability, performance, security, and efficiency.

This is a hybrid software and infrastructure role with the freedom to work across the stack, including making changes to application code to address underlying problems. You will own infrastructure projects from design through deployment and ongoing operation, collaborating with partner teams to help our streaming platform scale with customer demand. Our backend services are primarily written in Go, with some Python and C++.

How you will make an impact

- Build and improve Kubernetes infrastructure for real-time services, contributing to capacity planning and improving compute and bandwidth efficiency as concurrent streaming demand grows. - Improve deployment, scaling, and recovery workflows to minimize disruption to active streams. - Build observability and help define service-level objectives for stream availability, connection success, and latency; investigate failures across application code, Linux networking, and cloud infrastructure to prevent recurrence. - Partner with device, networking, and product engineers to diagnose failures across the device-to-cloud path and enable new real-time capabilities. - Work with security engineers to strengthen the practices and controls that protect customer data, drones, and streaming services.