About us

IDOVEN is a health tech startup seeking to prevent cardiac disease through AI. With our breakthrough AI-based electrocardiogram analysis platform, we work with physicians and healthcare leaders to enable early detection and diagnosis at scale.

This is a unique opportunity. With the backing of the best investors in the industry, the European Innovation Council (EIC) and Horizon 2020 European Commission, you'll have the responsibility and resources to shape the creation of a game-changing product that can save millions of lives.

Our technology is recognized with the European Seal of Excellence, supported by EIT Health (a network of best-in-class health innovators backed by the EU), and received the Healthy Longevity Catalyst Award from the U.S. National Academy of Medicine. In 2021, we were awarded at South Summit as Most Disruptive Startup and Best Health Startup. We are one of the most promising European technology companies to watch.

Our Stack

We use a mix of tools in constant evolution; BigQuery, Cloud Run, Tensorflow, Pytorch, Petastore, ElasticSearch, MongoDB, and PostgreSQL. Today we live in the Google Cloud Platform (but we aspire to be Cloud agnostic), we use Terraform as infrastructure as code, and we orchestrate with a Kubernetes cluster. We have a decoupled architecture, based on asynchronous APIs and services and we work with React on frontend platforms (clients and admin), Native code in the mobile apps (Swift, Java / Kotlin) and Node, Python / Django on the backend.

About you

What you will do

As a DevOps engineer in our Product Engineering Development & Research team, you will be responsible for deploying applications/pipelines for a variety of real-world problems. You will work closely with our Platform and Infrastructure Lead and also with the Product Engineering Data and Research team to bring ML prototypes into production. We are creating a global product and this process requires out of the box thinking & solving some interesting technical challenges on the infrastructure level.

Responsibilities

• Help to define technical solutions for projects related to product development and manage those projects to obtain the defined objectives
• Work closely with Platform and Infrastructure Lead as a team
• Work closely with the Product Engineering
• Work closely with the Data and Research team
• Collaborate with Research team to deploy ML prototypes into production applications
• Offer support and troubleshooting assistance for the ML pipelines
• Manage our machine learning infrastructure
• Improve our solutions with care and dedication to detail