Hybrid Senior Software Engineer – Enterprise Applications

at Read AI

• Job title: Senior Software Engineer – Enterprise Applications
• Job type: Full Time
• Experience level: Senior
• Salary: $190,000 - $210,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Google Cloud Platform, Java, Microservices, Python, Go
• Location requirements: Hybrid, Seattle, United States

About the role

• Senior Software Engineer developing backend services for AI-driven enterprise applications. Collaborating with teams to create scalable solutions for improving information interaction.

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.

Benefits

• low deductible health plans
• flexible time away programs
• family leave programs