Job description

ABOUT READ AI: At Read AI we're redefining how teams collaborate by bringing intelligence to every meeting. Our platform supercharges productivity before, during, and after meetings—and across messages and email—so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Microsoft Teams, Google Meet, Zoom, Slack, HubSpot, ChatGPT, Claude, and more, helping teams stay aligned and move forward, whether they're in the same room or across time zones. Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered meetings and want to make an impact at a product-focused startup, we'd love to meet you. The Role: Read AI is seeking a Senior Software Engineer to join our Backend team. As a senior contributor, you will play a key role in designing, building, and scaling backend systems that power our AI-driven productivity platform. You’ll work in a fast-paced, collaborative Responsibilities: - Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure. - Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance. - Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring. - Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions. - Drive technical excellence through code reviews, mentorship, and best practices in software engineering. - Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems. - Continuously improve system performance, scalability, and reliability to support rapid user and data growth. - Contribute to a culture of innovation, ownership, and customer-centricity. What we look for: - 7+ years of professional experience in backend software engineering, with a strong track record of shipping production systems. - Proficiency in Python (or similar languages such as Java, C++, or Node.js); Experience designing and building distributed, cloud-native systems (preferably on AWS). - Deep understanding of API design, authentication/authorization protocols (OAuth2, JWT), and security best practices. - Familiarity with CI/CD, infrastructure-as-code (Terraform), and modern DevOps practices. - Excellent communication skills; ability to explain complex technical concepts to both technical and non-technical audiences. - Strong sense of ownership, curiosity, and a passion for innovation and continuous learning. - Experience working in a startup or fast-paced environment is highly valued. - Experience with containerization (Docker, Kubernetes) is a plus. This description reflects Read AI’s focus on rapid iteration, technical excellence, and building robust backend systems to support AI-powered productivity tools for a growing user base. Why Read AI? - Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective. - Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action. - Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 inc.com by Inc Magazine, and is one of the Top AI Companies in Demand by Startups techcrunch.com, according to a16z. - Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile fortune.com and listen to him share his vision for AI Agents, Digital Twins and the Future of Work podscan.fm. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI builtin.com. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief read.ai. - Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team. Software Engineer positions offer a base pay range of $190,000 - $200,000, plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs. Please note our company does not provide visa support or sponsorship for employees.

Requirements

Must-haves

Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure.
Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance.
Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring.
Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions.
Drive technical excellence through code reviews, mentorship, and best practices in software engineering.
Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems.
Continuously improve system performance, scalability, and reliability to support rapid user and data growth.
Contribute to a culture of innovation, ownership, and customer-centricity.
7+ years of professional experience in backend software engineering, with a strong track record of shipping production systems.
Proficiency in Python (or similar languages such as Java, C++, or Node.js); Experience designing and building distributed, cloud-native systems (preferably on AWS).
Deep understanding of API design, authentication/authorization protocols (OAuth2, JWT), and security best practices.
Familiarity with CI/CD, infrastructure-as-code (Terraform), and modern DevOps practices.
Excellent communication skills; ability to explain complex technical concepts to both technical and non-technical audiences.
Strong sense of ownership, curiosity, and a passion for innovation and continuous learning.
Experience working in a startup or fast-paced environment is highly valued.
This description reflects Read AI’s focus on rapid iteration, technical excellence, and building robust backend systems to support AI-powered productivity tools for a growing user base.
Why Read AI?
Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.
Please note our company does not provide visa support or sponsorship for employees.

Nice-to-haves

Experience with containerization (Docker, Kubernetes) is a plus.

Application prep

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Keywords to mirror

aipythonawsjavanode.jsapici/cddockerkubernetes

Platform: ashby
Effort: quick

Benefits

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Vision