Python Software Engineer

Giotto.ai is building intelligence systems for Europe, focused on advanced reasoning AI, efficient machine learning architectures, and robust AI infrastructure. We are assembling a team of exceptional engineers and builders who want to work on technically challenging systems, combining software engineering, system design, infrastructure, and applied AI deployment. Role Overview: We are looking for a Senior Software Engineer capable of designing, building, and operating robust software systems that support large-scale AI workloads and production-grade applications. This role is suited for an engineer with strong system design skills, solid backend experience, and the ability to work across databases, distributed services, event-driven architectures, deployment pipelines, and application infrastructure. The role is primarily software engineering focused, with Python as a core language, but experience with frontend development is also valuable, especially for building internal tools, user-facing interfaces, dashboards, and AI-powered applications. Depending on experience, the role may involve leading a project team or feature squad, although strong senior individual contributors are equally valued. Core Technologies Python SQL and NoSQL databases Docker Kubernetes Event-driven systems Message queues and asynchronous architectures REST APIs and backend services Frontend technologies Airflow Ray Object-oriented design AI infrastructure and model deployment Required Profile Mid-senior or senior software engineer Strong system design capabilities Experience designing and operating production systems Strong backend engineering experience, preferably in Python Solid understanding of software architecture, APIs, and object-oriented design Experience working with databases, data models, and persistence layers Experience with Docker and containerized deployments Familiarity with distributed systems, asynchronous services, or event-driven architectures Basic DevOps knowledge Ability to reason about reliability, scalability, observability, and maintainability Interest in AI systems, AI infrastructure, or machine learning deployment Nice to Have Experience with frontend development Experience with Kubernetes and cloud-native infrastructure Experience with AI model serving or deployment Experience with Ray, Airflow, Kafka or similar distributed/data orchestration tools Experience with monitoring and observability tools such as Grafana Experience building internal platforms, developer tools, or infrastructure products Leadership experience Advanced DevOps experience Location & Work Style We offer a contractorship. Hybrid model: Remote work fully supported with ociasional trips to Switzerland