Senior Full Stack Engineer

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Symmetry AI

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1 - 10 employés

🤖 Intelligence artificielle

☁️ SaaS

⚡ Productivité

Artificial Intelligence • SaaS • Productivity

Symmetry AI est une entreprise qui propose un Context OS pour un travail natif à l'IA, connectant des flux de travail fragmentés en un système unifié et conscient du contexte afin de permettre une productivité et une automatisation optimisées par l'IA. Leur plateforme agit comme une couche opérationnelle qui capture et met en avant les informations contextuelles à travers les outils et les processus de sorte que les équipes peuvent automatiser des tâches, améliorer la collaboration et développer des flux de travail pilotés par l'IA. Symmetry AI est proposé en tant que produit cloud-native destiné aux organisations adoptant l'IA pour rationaliser le travail et accroître l'efficacité.

Description

• Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Symmetry’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.

🎯 Exigences

• 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.

🏖️ Avantages

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development