Kyiv/Remote
Full Time
Requirements:
$ads={1}
- Basic experience with Terraform
- Basic experience with AWS (VPC, EC2, Load Balancers, EKS)
- Basic experience and understanding of Kubernetes
- Basic experience with Docker
Would be a plus:
- Experience with Helm
- Experience with monitoring (Prometheus, Grafana)
- Github Actions
- Scripting skills in Python
- Familiarity with common development tools like Git
- Experience with PostgreSQL, MongoDB
About the project:
The pioneering medical technology company delivering technology into the growing global dialysis market, reimagining dialysis for patients and healthcare providers. The company developed a mobile hemodialysis system for the treatment of patients with renal failure. It is also the first-of-its-kind system to receive approval from the FDA in April 2020 for use in patients at their homes. The hemodialysis systems are widely used by patients all over the US. In May 2020 in collaboration with the US Department of Health and Human Services the company delivered 50 hemodialysis systems to the US hospitals.
The main area of the project:
- Real-time monitoring and analytics of the device and patient data
- Over-the-air software updates
- Cloud-based monitoring and reporting
- Reporting and data visualization
Problem:
Traditional hemodialysis is a time-consuming routine that requires dedicated hospital facilities and staff. As a result, it is difficult to scale up for a larger number of patients as well as to be implemented in remote or poverty areas. Today, a lack of such specialized medical facilities around the world results in the statistics that only 10% of those who need dialysis actually receive it.
Solution:
We developed a digital platform that enables real-time monitoring and analytics of the device and patient data and allows medical staff to monitor and adjust the treatment process remotely. The device contains numerous sensors, actuators, and controllers, which were enabled with remote access capabilities. The collected information is presented to medical staff in real-time web dashboards, which enable doctors to view patient treatment analytics over time.
The platform is designed to be scalable, with the ability to monitor several thousand customer treatments in parallel. To do this, we employ Cloud-based technology and algorithms that automatically identify and report problems. Also, the platform meets the requirements for end-to-end security, which makes it HIPAA compliant. The platform allows the staff to automate documentation workflows as well as streamlines device management with two-way wireless data transfer and cloud-based monitoring and reporting. The treatment data is stored in the device and can be downloaded over the Internet or integrated with the hospital’s EMR. Also, two-way data communication can automatically send treatment data to the cloud.
Our team is responsible for the entire engineering cycle, from the initial device software design to ground-up implementation, testing automation, analytics, and UI production rollout.
Overall project technology stack:
AWS services (EC2, S3, VPC, KMS, Route53, ECR, IAM, RDS, Lambda, Cognito), Terraform, Ansible, Jenkins, Prometheus, Grafana, Cadvisor, Node Exporter, Python, MVN, Grandle, Snowflake, NGINX, Kafka, Zookeeper.
