Your technical expertise helps us bring our advanced deep learning algorithms to every dental practice in the world so we can increase the quality of healthcare globally. Using microservices on Kubernetes and AWS you make sure our algorithms perform well, and our data is securely transported across our platform
Promaton is changing dental healthcare by automating diagnostics and treatment workflows using AI, making healthcare more affordable and accessible for everyone. Did you know dentists miss up to 30% of pathologies on an X-Ray? We are on a mission to eliminate errors in dentistry by improving diagnostic accuracy, and automating mundane work like creating 3D models by hand from an X-Ray. See our company page to learn more about what we do.
The technical leader of our platform team, which currently consists of 3 engineers. The platform team is owning infrastructure and MLOps in Promaton
Collaborating with our product teams and with the tooling team to discuss requirements and design the best solutions for our engineers and end users
Mentoring and coaching other engineers, and hire new team members
Some of the challenges we face because we work with large files, and heavy machine learning workloads:
Everything has to scale automatically to handle the load in a cost efficient way
We are dealing with sensitive data, it needs to be secure
It still needs to be very fast
Some of the technical challenges you will work on in your first months:
We need to scale our applications and infrastructure by 125x, while making it faster and more robust. You'll do this by
Deploying the latest security best practices to our infrastructure
Driving technical decisions to improve our infrastructure and API
Operating and improving our AWS setup that is currently written in CDK
Operating and improving our Kubernetes clusters with ArgoCD
Moving our machine learning pipelines into Argo Workflows
Squeeze as much performance out of our infrastructure as we can, to make our products fast and responsive, even though we work with large files.
Kubernetes on AWS (with EKS)
IaC written in CDK and GitOps with ArgoCD.
Metrics with Prometheus, Dashboarding in Grafana, Logging in Loki and Tracing in Tempo.
The applications that run on top of the infra are written in Typescript, Python and Java
Previous experience working as a hands-on (tech) lead in a small platform team
Good programming skills
Solid experience with cloud native technologies (Kubernetes, Docker, Jenkins, …)
Based in a time zone between UTC-1 and UTC+3 (-2 to +2 hours Amsterdam time)
Ability to fly in for company events 4 times a year (1 week per quarter)
Passion for machine learning
Previous experience in a regulated environment
Sounds like you? Let's talk!