Overall project technology stack:
Java, AWS services (EC2, S3, SES, SQS, IAM, RDS, Lambda, Cognito, X-Ray), PostgreSQL, Snowflake, Flyway, Grafana, Kafka, Kibana, Jenkins, Docker, Git.


3+ years of overall experience as a developer;
Experience with Spring Framework (Boot, Web, Security, Data, Batch);
Experience with AWS services (EC2, S3, SQS, IAM, RDS);
Experience with PostgreSQL;
Knowledge of monitoring tools Grafana, Kibana;
Experience with Jenkins, Docker;
Experience with Kafka, Web Sockets, Web Push notifications;
Familiarity with Git;
Good written and verbal communication skills in English.

Would be a plus:

Good knowledge of DynamoDB, Snowflake, Flyway;
Experience with the following AWS services: SES, Lambda, Cognito, X-Ray, Athena;
Knowledge of Python, Scala;
Debugging and performance optimization of distributed applications.

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 the 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


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.


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 allow 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. And the platform meets the requirements for end-to-end security, which makes it HIPAA compliant. The platform allows the staff to automate documentation and streamlines machine management with two-way wireless data transfer and cloud-based monitoring and reporting. Treatment data is stored in the device, downloadable from wherever you are or integrated with your EMR. Also, two-way data communication can automatically send treatment data to the cloud.

Our team responsible for the entire engineering cycle, from the initial device’s software design to ground-up implementation, testing automation, analytics, and UI production rollout.

Overall project technology stack:

Java, AWS services (EC2, S3, SES, SQS, IAM, RDS, Lambda, Cognito, X-Ray), PostgreSQL, Snowflake, Flyway, Grafana, Kafka, Kibana, Jenkins, Docker, Git.

About KaaIoT

The Kaa Cloud is an IoT platform-as-a-service (PaaS) accessible for all the registered users with KaaID. This is the Kaa Enterprise IoT Platform in the form of PaaS that you can start using in a matter of seconds! Designed for streamlined user experience, it gives you access to nearly all major Kaa capabilities, with no prior technical expertise required. That’s why we believe that the Kaa Cloud is the easiest way to connect your devices to the cloud and enjoy the benefits of remote device management and analytics. It is perfectly suitable for enterprise-grade IoT applications as well as home-grown IoT projects and experiments.

Company website:

DOU company page:

Job posted on 24 May 2021
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