DevOps and Data Platform Engineer
hace 7 días
We are a pioneering health tech startup using AI to prevent cardiac disease. Our breakthrough AI-based electrocardiogram analysis platform allows for early detection and diagnosis at scale, empowering physicians and healthcare leaders.
This role offers a unique opportunity to contribute to the development of a revolutionary product that can save millions of lives. With backing from top investors, including the European Innovation Council (EIC) and Horizon 2020 European Commission, you'll have the resources and freedom to drive innovation in our field.
We have earned recognition for our technology's excellence, receiving the European Seal of Excellence, supported by EIT Health, and being awarded the Healthy Longevity Catalyst Award from the U.S. National Academy of Medicine. Our achievements include being named Most Disruptive Startup and Best Health Startup at South Summit in 2021.
Our Technology Stack
We use a diverse array of tools, including BigQuery, Cloud Run, Tensorflow, Pytorch, Petastore, ElasticSearch, MongoDB, and PostgreSQL. Currently residing on the Google Cloud Platform, we aim for cloud agnosticism, utilizing Terraform for infrastructure as code and orchestrating with Kubernetes. Our architecture is decoupled, relying on asynchronous APIs and services. We work with React for frontend platforms, Native code for mobile apps, and Node, Python / Django for the backend.
Your RoleAs a DevOps engineer in our Product Engineering Development & Research team, you will be responsible for deploying applications/pipelines for real-world problems. You'll work closely with our Platform and Infrastructure Lead and the Product Engineering Data and Research team to bring ML prototypes into production. This global product requires out-of-the-box thinking and tackling complex technical challenges on the infrastructure level.
Responsibilities- Help define technical solutions for projects related to product development and manage those projects to achieve defined objectives
- Work closely with the Platform and Infrastructure Lead as a cohesive team
- Collaborate with the Product Engineering team
- Work closely with the Data and Research team
- Deploy ML prototypes into production applications in collaboration with the Research team
- Offer support and troubleshooting assistance for ML pipelines
- Manage machine learning infrastructure
- Improve our solutions with care and dedication to detail
The estimated salary range for this position is €80,000 - €110,000 per year, depending on experience. Additionally, you'll receive a comprehensive benefits package, including health insurance, flexible remuneration options, and a generous training budget.
Why Join IDOVEN?Join a dynamic and innovative team shaping the future of health tech and AI.
Grow professionally and personally within a fast-paced, international environment.
Enjoy access to the latest technology and tools to excel in your role.
Balance work and personal life with our flexible remote work environment.
Take advantage of opportunities for learning and development, along with a training budget.
Benefit from comprehensive health insurance and flexible remuneration options.
Enjoy regular team events and Thursday happy hours.
And many more perks
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