- Azienda in forte crescita- Settore AI
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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 relevant frameworks (e.g., Flask, FastAPI, Django).
- API Design & Development: Proven experience designing and implementing complex RESTful APIs, with a solid understanding of API versioning strategies. Familiarity with GraphQL is a plus.
- Database Technologies: Strong experience with relational databases (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB, DynamoDB).
- Cloud Computing: Hands‐on experience with at least one major cloud provider (AWS preferred). Understanding of serverless architectures and managed services.
- Version Control: Expert‐level proficiency with Git and collaborative development workflows (e.g., GitHub, GitLab).
- Software Design Principles: Solid grasp of SOLID principles, design patterns, and microservices architecture.
- Testing Frameworks: Experience with Python testing libraries (e.g., pytest, unittest).
- Communication: Excellent written and verbal communication skills in English, with the ability to articulate technical concepts clearly.
Nice to have
- Experience with Go or Node.js for specific microservices.
- Familiarity with message queues (e.g., Kafka, RabbitMQ, SQS).
- Exposure to container orchestration technologies, including Kubernetes.
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and LLM integration (e.g., LangChain, OpenAI API). xivgfpx
- Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and their application in search and recommendation systems.
- Experience with CI/CD tools and practices (e.g., Docker, Jenkins, GitLab CI).
Completa l'offerta
Ottima possibilità di crescitaAzienda che utilizza tecnologie innovative
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