Engineering - Backend Engineer - Enterprise Applications

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 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 3+ 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.

Software Engineer positions offer a base pay range of $110,000 - $180,000, 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.