Senior Full Stack Engineer

November 25

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Base0

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Artificial Intelligence • SaaS • Productivity

Base0 is a Context OS for AI-native work that connects fragmented workflows into a single, context-aware system. The platform aims to enable AI-powered productivity and automation by providing integrated context across tools and processes; it's positioned as a SaaS product currently in private beta.

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

⚡ Productivity

📋 Description

• Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Base0’s product and external integrations. • Architect Data Systems: Design and optimize relational, vector, and graph-based data stores that represent interconnected project context. • Build Distributed Services: Develop and scale backend systems using modern Python frameworks and asynchronous processing patterns. • Integrate AI Workflows: Combine retrieval and generation pipelines to deliver context-rich, adaptive intelligence within the platform. • Ensure Reliability & Security: Design for fault tolerance, enforce access control, manage secrets securely, and maintain compliance with data protection standards. • Operate in Production: Deploy, monitor, and optimize services with meaningful metrics, alerts, and incident response practices. • Debug & Optimize: Trace issues end-to-end, fix root causes, and continuously improve system performance and resilience. • Collaborate Cross-Functionally: Partner with frontend, design, and research to deliver reliable, user-centered experiences. • Own the Outcome: Document systems, write tests, and iterate post-launch using real-world feedback.

🎯 Requirements

• 5+ years building and operating backend or full-stack systems in production environments. • Strong Python fundamentals and experience with modern web frameworks. • Deep understanding of data modeling and SQL with hands-on experience in relational databases. • Experience designing distributed and asynchronous systems for scale and reliability. • Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems. • Solid foundation in cloud-native operations — containerization, orchestration, monitoring, and scaling. • Track record of owning systems end-to-end — from design to post-launch operation. • Awareness of security best practices and compliance principles. • Strong debugging, observability, and incident-management skills. • Clear, proactive communicator comfortable working with product and research partners.

🏖️ Benefits

• Flexibility to work where you perform best • Opportunities for personal and professional growth • Collaborative team environment • Access to the latest technologies • Paid time off strategies democratizing every person's journey