> Markdown version of [/jobs/ext/3966435-staff-software-engineer-streaming-infrastructure](https://www.wearedevelopers.com/jobs/ext/3966435-staff-software-engineer-streaming-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Software Engineer - Streaming Infrastructure

- **Company:** Skydio, Inc.
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $230,000.0 - $275,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, C++ (Programming Language), Software as a Service, Cloud Computing, Computer Networks, Network Congestion, Continuous Delivery, Customer Data Management, DevOps, Distributed Systems, Python (Programming Language), Reliability Engineering, Data Streaming, WebRTC, Backend, Kubernetes, Low Latency
- **Published:** October 27, 2026
- **Apply:** https://startup.jobs/staff-software-engineer-streaming-infrastructure-skydio-com-10584845

## About the Role

* 8+ years in SRE, platform engineering, DevOps, or an equivalent infrastructure role, with demonstrated ability to define technical direction, lead cross-team initiatives, and translate business objectives into a technical roadmap.
 * Strong experience operating and automating production Kubernetes clusters, with familiarity with AWS and continuous deployment systems, including safe rollout and rollback strategies.
 * Experience operating distributed systems with long-lived connections, latency-sensitive traffic, or demanding availability requirements, and comfort fixing underlying issues in application code; Go preferred.
 * Strong understanding of cloud networking, security, storage, and resilient application topologies, with experience diagnosing connectivity and performance issues across application, container, and cloud networking layers.
 * Experience building observability and using production metrics, logs, traces, and profiling to investigate failures.

Bonus points

 * Experience operating real-time video, communications, or device connectivity platforms, including drones or highly automated physical hardware.
 * Familiarity with WebRTC, RTP/RTCP, ICE/STUN/TURN, or platforms such as LiveKit.
 * Experience troubleshooting connectivity and performance issues in real-time streaming systems, including packet loss, jitter, latency, and NAT/firewall traversal.
 * Experience scaling connection-oriented services, including connection draining and graceful shutdown.
 * Familiarity with supporting both SaaS and self-hosted applications.

## Description

As a Staff Infrastructure Engineer on the Streaming team, you will shape the cloud infrastructure and operational foundations 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 define technical direction and lead cross-team initiatives that 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

 * Design and evolve Kubernetes infrastructure for real-time services, driving capacity planning and compute and bandwidth efficiency as concurrent streaming demand grows.
 * Improve deployment, scaling, and recovery workflows to minimize disruption to active streams.
 * Establish service-level objectives and observability 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.