THIS IS CRADLE

Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.
Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia.
We’re an experienced team of roughly 60 people. We’ve built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture.
We offer our employees a very competitive salary, a generous equity stake (for full time employees) in the company and a wide range of benefits and career progression opportunities.

As our Integrations Engineer, you’ll build the critical software infrastructure that connects systems across our entire lab ecosystem:
Build integrations across the lab ecosystem. Create robust connections between various systems, like our Cradle platform and Benchling, external ordering systems and our workflows, and much more. You’ll build the bridge between all the different tools and systems that power our lab, while also developing integrations that our customers can use to seamlessly connect Cradle with their existing lab infrastructure and workflows.
Connect lab equipment and tools. Integrate our automation equipment (robotic systems, liquid handlers, plate readers, sequencers) and other scientific instruments like NanoDSF and Cartera readers with our platform, Benchling, etc. Build reliable (ETL) data pipelines that capture experimental results.
Develop internal tools and dashboards. Create user-friendly interfaces that help our scientists monitor experiments, review data quality, and interact with integrated systems. Transform raw data from various lab instruments into structured data and helpful visualizations.
Build and maintain workflows. Develop and refactor (Flyte) workflows that orchestrate laboratory processes. Create robust, testable systems that handle the complexity of real lab operations.
Contribute to open-source initiatives. Help us share tools, SDKs, and workflows with the broader scientific community as part of our commitment to advancing the field. You’ll work on building integrations and tools that make it easier for other organizations to adopt Cradle and connect it with their lab ecosystems, lowering barriers to entry for protein engineering teams worldwide.