Senior 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 - One week per month in the Swiss office