Senior Real-Time Streaming Engineer: Low-Latency RTP/RTCP

Netflix; Cheyenne (WY); Remote; USD 27,552 - 41,328; Full time

Job summary

Netflix in Wyoming, USA is seeking a Senior Software Engineer to design and deliver ultra‑low‑latency RTP/RTCP streaming solutions for real-time media. You will architect web protocols, collaborate with server and client teams, and contribute to a production CD stack to drive performance improvements.

You will apply deep knowledge of network dynamics, operate in a Linux environment, and utilize tcpdump/Wireshark along with Python and R to capture data, run tests, and validate efficiency and

Qualifications

• Profound understanding of network congestion control and ultra-low-latency RTP-based streaming.
• Experience with Linux environments and network analysis tools.
• Ability to explain technical concepts to diverse audiences.
• Experience with A/B testing in production environments.

Responsibilities

• Design and develop the architectural blueprint for web protocols and their implications for interactive media streams.
• Refine and work on heuristics for rate and inactivity monitoring, congestion control, and failure recovery for RTP-based streams.
• Collaborate with partners to ship and iterate on ideas within our server-side, continuous delivery stack.
• Work with server, client, and data science teams to evaluate designs using lab and production tests.

Skills

Low-latency streaming

Network congestion control

Cross-team collaboration

Linux proficiency

Communication of concepts

Education

Bachelor's Degree

Tools

tcpdump

Wireshark

Python

R

Job description

Netflix in Wyoming, USA is seeking a Senior Software Engineer to design and deliver ultra‑low‑latency RTP/RTCP streaming solutions for real-time media. You will architect web protocols, collaborate with server and client teams, and contribute to a production CD stack to drive performance improvements.

You will apply deep knowledge of network dynamics, operate in a Linux environment, and utilize tcpdump/Wireshark along with Python and R to capture data, run tests, and validate efficiency and