Top Tech Jobs & Startup Jobs

As a Java Back-End Engineer, you will develop software that processes large volumes of data, ensuring safe payments for consumers and reliable services for merchants. You'll create tools for informed decision-making and maintain platform stability to achieve zero downtime.

As a QA Engineer at Trustly, you will create test plans, develop automated test cases, identify testing opportunities, and research ways to improve quality and testing tools while collaborating closely with development teams during planning and scrum meetings.

The Client Support Specialist at Trustly Americas is responsible for troubleshooting and resolving client and customer queries. They triage cases, maintain ownership of support cases, monitor various support channels, and collaborate with different teams within the organization. Ideal candidates have previous customer support experience and excellent English skills, with additional experience in iOS, Android, Salesforce Service/CRM.

As a Risk Strategy Analyst, you will analyze data to identify trends and make recommendations that support risk operations goals. Responsibilities include compiling data for model adjustments, supporting process improvements, and communicating with Data Science and customer support teams. Availability for calls is required.

As a Senior Full-Stack Engineer, you will create and maintain backend and web features, investigate application issues, propose improvements, analyze data for performance, create documentation, and support new developers. You will collaborate with various teams to ensure feature integration and efficiency.

The Senior Back-End Engineer will design technical solutions, create documentation, monitor systems, lead technical refinements, develop backend services, and provide training for team members. The role involves debugging, creating integration tests, and analyzing system performance.

The Staff Data Scientist will lead the development of statistical models to mitigate fraud and funds risk, analyze model performance, deploy models, and collaborate with engineering. The role includes developing risk modeling infrastructure and reporting, as well as ad-hoc analyses for risk issues.