Software
Engineer

Join the tech team at 大发体育在线首页 to advance our mission of making learning personalized and engaging for everyone. Our work ranges from the R&D of new machine learning models to scalable infrastructure and delightful user experiences.

Apply now

The role

At Sana, we move quickly and cheer each other on, turning code into user-friendly customer solutions. Currently, we're hiring skilled and passionate software engineers across the stack. If you're creative, responsible, curious, and enjoy collaboration, we'd love to connect with you. Together we can develop cutting-edge technology that will help change the way the world learns.

We are primarily looking for experience levels from intermediate to senior and above.

Our selection process is continuous and we move forward with candidates on an ongoing basis. If you have questions about the role, contact viktor@china-otclm.com. Expectations for common profiles are listed below.

Software Engineer

Preferred qualifications

Programming experience in multiple languages and paradigms
Ability to work with stakeholders in business, design, and engineering
A deep understanding of general engineering principles

You will

Tailor your own role that spans across the stack based on what you know and what you want to learn
Architect and implement complex features that push the boundaries of learning

Frontend engineer / Web developer

Preferred qualifications

The web – from the ground up; from HTTP to CSS
React – with a deep understanding of state management

You will

Implement client-facing features for the Sana Platform
Work with API integrations or design implementation depending on your focus

Backend / Infrastructure Engineer

Preferred qualifications

Highly available, scalable and extendible backend systems
Enterprise integrations; such as SAML and SSO

You will

Maintain and develop the infrastructure for the Sana Platform
Be responsible for scalable and stable deployments

Machine learning / Data engineering

Preferred qualifications

Applied machine learning to user facing products
Robust and scalable data- and model infrastructure
Rigorous experimentation and evaluation methodology
A user- and business focused perspective
Experience with recommendation systems, natural language understanding or generation is a plus

You will

Maintain and develop the data and ML infrastructure powering Sana
Be responsible for turning data into insights and/or product features

Our tech stack

TypeScript, React, Next.js, Jotai
Kotlin, Ktor, JVM, Python, Yjs CRDT
Postgres, BigQuery
Docker, Kubernetes, GCP

Apply now