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This Medtech scaleup with offices in the US and Berlin, are scaling up their engineering & product divisions. Their product is an asynchronous communication platform that improves the communication between patients, doctors and healthcare professionals, and even third parites, such as pharmacies and insurance companies. Their product streamlines processes, automates reminders for checkups and prescriptions, and digitizes health records with the goal to improve the level of care that patients receive, and reduce the time that doctors and medical professionals spend on administrative work. In a nutshell, they want to ensure healthcare is patient-centric, and communication is modern and efficient. Founded in 2013, they have a mature engineering environment, and a testing first attitude. They have recently built a ML division to implement Machine Learning Models and build this arm of the business.
You’ll be joining a team of 3 SREs, and will report directly to the Director of Engineering. You will be working on an AWS migration, and improving their K8s and IaC setup, as well as sharing DevOps best practices with the other members of the engineering team. You will essentially be working on a greenfield project, as the infrastructure was previously managed externally, and now it’s being brought in-house. You’ll also be improving their multi-environment observability system (using Prometheus, Grafana, Datadog). There is lots of the roadmap and plenty of scope for you to bring new ideas to improve availability, scalability, latency, and efficiency of their services. Their stack includes AWS, AWS native services, K8s, Ruby and React.