Thyme Care’s values act as a shared north star for everything that we do. As an engineering team we decided to add an additional values…

Thyme Care's Engineering team is proud of how learning and mentorship are core parts of our culture. Read to learn more.

We sat down with one of our talented Data Scientists, Scott Worland, to talk about his background and what it’s like contributing to the data science and engineering team at Thyme Care.

We've talked about why we chose Kubernetes at Thyme Care to deploy and scale our applications, emphasizing the importance of managing the complexity of Kubernetes. In this post, we hope to share just one aspect of how we’re doing that, through the automation of our deploy process.

Are you an engineer interested in working at Thyme Care? Allow us to introduce you to Laura Jeong, one of our Front-End Software Engineers, to learn more about her experience working here.

When launching Thyme Care, we deployed our MVP to AWS Elastic Beanstalk (EBS). While it helped us hit the ground running, we quickly outgrew this solution. Our plans for the future required a more robust platform – one that was highly observable, general enough for any number of workloads, and able to support our scale well into the future.

Using a simple inheritance pattern along with Python’s *args and **kwargs symbols, Thyme Care can insert our own metadata into a wrapper class without affecting the underlying implementation.