Read AI · 4 months ago
Senior Backend Engineer - Enterprise Applications
Seattle, WA
Full-time
Onsite
Senior Level
$190K/yr - $200K/yr
5+ years expRead AI is a fast-growing, venture-backed startup focused on harnessing the power of AI to improve how people interact with information. As a Senior Backend Engineer - Enterprise Applications, you will develop and maintain backend services for enterprise product offerings, collaborating with cross-functional teams to deliver scalable solutions that meet customer needs.
AnalyticsArtificial Intelligence (AI)Enterprise SoftwareMachine LearningMeeting SoftwareSoftware
No H1B
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Low deductible health plans
Flexible time away
Family leave programs
Company
Read AI
Read AI is a productivity AI company that enhances workflows with meeting analytics, scheduling, and summaries across messages and email.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$81MKey Investors
Smash CapitalGoodwater CapitalMadrona
2024-10-28Series B· $50M
2024-04-02Series A· $21M
2021-09-29Seed· $10M
Leadership Team
David Shim
Co-Founder, CEO
Elliott Waldron
Co-Founder & VP Data Science
Recent News
Business Insider
2025-11-10
Business Insider
2025-09-29
Company data provided by crunchbase