We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.

What we are looking for We're looking for full stack software engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems! Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.

Your responsibilities As a full stack software engineer, you will be responsible for designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users.

For example, this means:

• Implementing lightweight and modularized web-based user interfaces and visualizations, e.g. to rapidly prototype new UIs as new API endpoints become available.
• Architecting database designs to effectively store customer data, e.g. with consideration for how to represent the variability of biochemistry in future-proof ways (people invent new species of macromolecule all the time!).
• Owning large parts of the software design and development process. We are in an early stage of the company where you will majorly contribute to the software design of the product.
• Building modern documentation stacks which automatically stay up-to-date, e.g. through pulling in OpenAPI specifications.
• Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains.

Your skills Must haves:

• Familiarity with designing user interfaces and are familiar with one or more popular frameworks (e.g. React).
• The Python programming language and its ecosystem. (FastAPI, uv, ruff, pyright, …).

Nice to haves:

• Excitement about all parts of the software stack which is reflected in your past projects. At any given day you could be asked to design a REST API, contribute to a codon optimizer*, or design a UI plugin.
• Databases and big data systems.
• Production systems for machine learning applications.
• Building containerized backend systems. (Docker, Kubernetes).
• You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment.
• Do a little research online if you don’t know what this is :)

Our commitment to inclusive hiring Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.

AI disclosure Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.

A Notice About Recruitment Scams Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.