Seibold GmbH is hiring : Video Streaming Software Engineer Seattle, WA in Seattle

About Us :

Read AI is a leading productivity AI company focused on helping individuals and businesses optimize their workflows across meetings, messages, and email. With seamless cross-platform integration with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, Read AI revolutionizes how teams connect and collaborate by providing an AI copilot wherever they work.

We’re excited to share that we recently closed a $50 million Series B funding round, led by Smash Capital, with continued support from existing investors Madrona and Goodwater Capital. This new funding brings our total to $81 million, just six months after our Series A. We're just getting started, so if you're passionate about shipping early, often, and impacting millions, we'd love for you to join our growing team!

The Role :

The Media Capture team is dedicated to capturing and processing critical audio and video data that powers our downstream applications, enabling smarter, real-time insights across a variety of use cases. We approach every challenge with creativity, collaboration, and a commitment to innovative solutions that impact thousands—if not millions—of users daily. We value versatility, ingenuity, and a passion for solving complex problems across diverse technology stacks and methodologies.

As a Video Streaming Software Engineer on our team, you’ll play a key role in solving dynamic, cross-disciplinary problems and applying your skills to a wide range of projects. You’ll contribute to designing scalable systems for live data capture, developing infrastructure for our bots and mobile apps, and ensuring seamless audio and video collection for our users. We don’t expect you to be an expert in every tool or domain from day one, but we value creativity, adaptability, and curiosity to help you quickly master the skills necessary to craft robust and scalable solutions. If you're motivated by impactful work and excited to build systems that bring data to life, we'd love to meet you.

Responsibilities :

• Design, build, and maintain systems that capture, process, and stream high volumes of audio and video data from diverse sources, ensuring reliability, scalability, and low latency.
• Approach complex challenges in real-time media processing and data ingestion with effective technologies and creative solutions, even when faced with novel problems.
• Collaborate closely with cross-functional teams—including product managers, designers, and other engineers—to turn data-driven insights into meaningful, user-centric solutions.
• Identify, investigate, and resolve technical issues across data pipelines, streaming processes, and user interfaces, ensuring end-to-end reliability and performance.
• Contribute to building an inclusive and supportive team culture that celebrates diversity, fosters learning, and ensures everyone feels valued.

Requirements :

Nice to Have :

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