Azienda in robusto crescitaSettore AI
Azienda
Piattaforma all'avanguardia nell'Intelligenza Personale ed Enterprise basata su AI. Progettano sistemi che unificano fonti di dati e flussi di lavoro eterogenei tra le principali suite di produttività (Microsoft 365, Google Workspace) e le applicazioni aziendali (Slack, Salesforce). La loro missione è aumentare la produttività organizzativa e individuale attraverso l'automazione intelligente e l'AI contestuale.
Offerta
Service Development & Architecture: Design, implement, and deploy microservices and APIs using Python, focusing on scalability, resilience, and maintainability.
API Integration: Develop and maintain robust RESTful APIs and asynchronous event-driven services (e.g., using Kafka or RabbitMQ) for internal and external consumption.
Data Engineering & AI Pipelines: Contribute to the design and implementation of data ingestion, transformation, and processing pipelines. Integrate machine learning models and LLM-based functionalities into backend services.
Database Management: Work with relational (e.g., PostgreSQL) and/or NoSQL databases, including schema design, query optimization, and performance tuning. Experience with vector databases for AI applications is a strong plus.
Infrastructure & Deployment: Collaborate on CI/CD pipelines (e.g., Jenkins, GitLab CI) and container orchestration (e.g., Docker, Kubernetes). Support cloud infrastructure management (AWS).
Code Quality & Practices: Promote sound practices in coding, testing (unit, integration, end-to-end), and deployment. Conduct thorough code reviews and mentor junior engineers.
System Observability: Implement monitoring, logging, and alerting solutions to ensure system health and performance.
Security: Adhere to security practices in API design, data handling, and infrastructure deployment.
Competenze ed esperienza
4/5+ years of professional experience in backend software development.
Python Expertise: Deep proficiency in Python, with experience using