Senior Backend and DevOps Engineer
Listed on 2026-02-28
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IT/Tech
AI Engineer
Scholé AI is building the future of AI-native learning. We’re a recently founded venture-backed spinoff of EPFL’s Machine Learning for Education Lab and UC Berkeley. We’re looking for someone who’s committed to working in a fast-paced, fast-growing startup with a strong technical team and lots of interesting problems to solve. The company is founded by two EPFL CS PhDs who have been working in AI for Education for more than 10 years.
How to ApplyIf you’re excited about building meaningful backend systems for AI-driven learning, we’d love to meet you.
We will ONLY consider applications that are sent to team including:
- Your CV
- A video (3 minutes max) where you showcase a recent web app you have worked on, including an explanation of the backend architecture
We’re hiring a Senior Backend Engineer to own and scale the backend systems powering Scholé’s personalized learning platform. This is a full-time on-site role based in Lausanne. You will design, build, and maintain the APIs, data pipelines, and services that enable adaptive lessons, analytics, and AI-driven personalization.
What You’ll Do- Design, build, and maintain robust backend services using Django.
- Take ownership of cloud infrastructure, deployment pipelines, and scalability.
- Collaborate closely with frontend engineers and AI engineers to ship new features.
- Ensure performance, reliability, security, and data integrity across the platform.
- 5+ years of experience in backend or full-stack engineering, with strong systems design experience.
- Strong experience with Django.
- Solid understanding of API design, relational databases, and backend architecture best practices.
- Experience working with cloud environments, and Docker (Azure experience is a plus).
- Experience with Dev Ops, CI/CD.
- Strong problem-solving skills and attention to detail.
- Ability to collaborate effectively in a small, fast-moving team.
- Experience working with data pipelines, analytics systems, or ML-adjacent infrastructure.
- Familiarity with AI or LLM-powered systems in production.
- Background in education technology or user-centric platforms.
- Knowledge of data privacy, security, and compliance considerations.
- Own and shape the backend foundations of an AI-native learning platform with a strong, ambitious team, and user growth.
As soon as possible
Salary90,000 – 100,000 CHF (depending on experience) + equity
Work AuthorizationYou must have the right to work in Switzerland.
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