ashby
Senior Software Engineer, Data Engineering
Read AI, Inc.
Seattle, USA
Full-time
Senior · 7+ years experience
Onsite
USD 190000-210000 yearly / year
Discovered 1 weeks ago
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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.
Last year we 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: As a Senior Software Engineer, Data Engineer at Read AI, your contributions will directly impact the functionality, scalability and reliability of our product. Our team is responsible for owning the data flows and ML infrastructure across the company, which includes realtime audio/video processing, interactions with third party llm providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services. Responsibilities:
Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.
Take ownership of critical components of our system, from conception to deployment and maintenance.
Practice quality assurance best practices including unit and integration testing.
Optimize data processing pipelines and storage solutions.
Integrate third-party services and data sources seamlessly into our platform.
Monitor, troubleshoot, and resolve issues related to infrastructure and operations to ensure maximum uptime and reliability.
Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.
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