• Web applications automation using Python and Selenium framework, to evaluate the overall system performance (availability, response time, stability) and verification whether the application can handle the expected load• Development of customized backend algorithms and applications automation based on API software architecture, to optimize the execution time of repetitive, logically more or less complex tasks• Development of scripts for automatic generation and visualization of business and operational reports using Python and SQL

• Backend API testing of new functionalities, from the aspect of obtained results validity and response latency values• Backend API debugging of defects in existing functionalities, caused by development of new software components and their mutual interaction• Collaboration in the design of software APIs and their DTO structure, in order to ensure the optimal functioning of S2C communication• Permanent monitoring and analysis of events circulation of crucial services of the system, based on data streaming through the Kafka platform• Analysis of interdependence of existing and new services that are developed in the microservice software architecture, with an emphasis on input/output parameters of each unit and their role in data processing• Role in the development of services whose functioning is based on S2S communication architecture• Role in development and design of data pipeline, i.e. the logic of raw data aggregation, development of new indicators and their transmission from the source to the services that consumes that data• Monitoring whether new functionalities are supported by adequate information in the databases, in order to monitor the exploitation of these functionalities over time• Checking the consistency of data in different databases, as well as identifying the cause and time interval in which the potential difference occurs• Checking whether all the necessary information, on which business reporting is based, is stored in the databases in the appropriate format• Collaboration in designing SQL queries and automation scripts, from the aspect of valid report results and optimal query execution time

• Collection and integration of data from various sources, and preparation of data for further processing and analysis• Data analysis and finding patterns and interdependencies between different business indicators• Data analysis and preparation of operational and business reports, as support for decision-making and minimization of possible risks• Insights interpretation and development of data visualization models through BI software solutions