Senior Backend Engineer - Enterprise Applications

Reposted 9 Days Ago
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Seattle, WA
In-Office
190K-200K Annually
Senior level
Artificial Intelligence • Software
The Role
Develop and maintain backend services for enterprise applications, collaborating with teams to implement scalable solutions and ensuring data security and reliability.
Summary Generated by Built In

About Us:

At Read AI we are a fast-growing, venture-backed startup focused on harnessing the power of AI to improve the way people interact with information. Our product helps users by summarizing, augmenting, and aggregating meeting, chat, and email data, saving valuable time. With over a million active users each month, we are continuously expanding and looking for individuals who share our passion for innovation and impact.

We are committed to fostering a diverse and inclusive work environment where all voices are valued. We encourage individuals from all backgrounds, abilities, and experiences to apply.

The Role:
As a Senior Backend Engineer - Enterprise Applications at Read AI, you will play a key role in developing and maintaining the backend services that power our enterprise product offerings. You will collaborate with cross-functional teams to design, develop, and deploy scalable and reliable backend solutions that meet the unique needs of our enterprise customers.

Responsibilities:

  • Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that support our enterprise customers.
  • Take ownership of critical enterprise components of our system, from conception to deployment and maintenance.
  • Build features and functionality to streamline the management and monitoring of our platform by enterprise IT administrators
  • Practice quality assurance best practices including unit and integration testing.
  • Implement robust authentication and authorization mechanisms to ensure data security and privacy.
  • Optimize data processing pipelines and storage solutions to support enterprise-level data volumes and requirements.
  • 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 for our enterprise customers.
  • Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems.

Requirements:

  • Bachelor's degree or higher in Computer Science/Engineering, or 5+ years of relevant industry experience.
  • Proven experience in backend development, with proficiency in one or more programming languages such as Python, Java, or Go.
  • Strong understanding of distributed systems, microservices architecture, and cloud computing platforms (e.g., AWS, GCP).
  • Experience with authentication/authorization protocols and mechanisms (e.g., OAuth, JWT).
  • Experience with data encryption at rest and in transit, including knowledge of encryption algorithms and security best practices.
  • Familiarity with relational and non-relational databases, along with expertise in data modeling and database management.
  • Excellent problem-solving skills with a pragmatic and results-driven approach.
  • Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Nice to Have:

  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with Python, Pydantic, FastAPI, and SQLAlchemy.
  • Experience with multi-region cloud computing deployments.
  • Experience with regulatory frameworks that govern data handling such as GDPR and HIPAA.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Prior experience in a startup or fast-growing environment.

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 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups, according to a16z. 
  • Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI. 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. 
  • 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.

Top Skills

AWS
Docker
GCP
Go
Java
Kubernetes Sql
Python
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The Company
Seattle, Washington
52 Employees
Year Founded: 2021

What We Do

Read AI is an AI copilot for wherever you work, making your meetings, emails, and messages more productive with summaries, content discovery, and recommendations.

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