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Introduction
When people think ‘software’, they often think of companies like Google or Microsoft. Even though the organization is classified as a hardware company, we in fact have a very large software development community. The environment is extremely attractive for prospective software engineers because it challenges them to make big data with extreme complexity useable for end users. From Hadoop retrieval to machine learning to full stack development, the possibilities are endless. At the organization our software teams create and implement designs that run in the most modern semiconductor fabs in the world, helping our customers like Samsung, Intel and TSMC make computer chips faster, smaller, and more efficient. Here, we’re always pushing the boundaries of what’s possible.
We are always looking for talented software developers who know how to apply the latest software technologies, to join the teams responsible for creating software for high volume manufacturing automation in semiconductor fabs. Could this be your next job? Apply now!

Job Mission
As a database test engineer you will join one of our multinational Scrum teams to create state-of-the-art software solutions. Teams are composed of five to ten developers, a Scrum Master and a Product Owner. We are committed to following a (scaled) Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. In all teams we cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. We use tools like Continuous Integration with GIT, Jira and Bamboo. We move fast to help our customers reach their goals, and we strive to create reliable and well-tested software; because failures in our software stack can severely impact our customers' operations. Your job is to put our database to the test with a lightweight “Autotester” framework.

Job Description
All these dedicated software teams work in unison on different products and platforms across the organization. Here’s a brief description of what the different teams do:  
• Process large data volumes and apply machine learning to turn the data into information. 
• Create on-site solutions that continuously monitors all our products in a customer’s domain. The server can detect system failures before they happen and identify needed corrective actions;
-Provide industrial automation tasks that take care of unattended complex adjustments to the manufacturing process, in order to enable highest yields in high volume manufacturing;
-Create applications that help fine-tune the manufacturing process, helping process engineers to navigate the complexities of process set-up through excellent UX design;
-Create visualization and analytics applications for visual performance monitoring, which also help to sift through huge amounts of data to pinpoint potential issues and solutions. For these applications, we use Spotfire and R as main technologies;
-Use emerging technologies to turn vision into reality, e.g. using big data and machine learning;

Responsibilities:
-Ensuring the quality of personal deliverables by designing and implementing automated tests on unit and integration levels;
-Cooperating with other teams to ensure consistent implementation of the test architecture;
-Troubleshooting, analyzing, and solving issues both from internal alpha and beta tests as well as those reported by our customers;
-Writing or updating product documentation in accordance with company processes;
-Check system behavior from the UI to identify bugs.
-Verify issues reported by end users; 
-Suggesting improvements to software, solutions to issues and better way of working to help get the team to the next testing level;Main technologies: Orcale, MongoDB, PostreSQL, , Java, Bootstrap, IntelliJ, REST, XML, Linux, Hibernate, Git, JIR.
 

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