Java Full Stack Engineer- Netherlands

Mantu is an independent international consulting player, founded in 2007. Bringing together expert and complementary brands, Mantu stands out for the breadth of its spectrum, responding to all business transformation challenges.

Its activities are divided into four practices: Leadership & Advocacy, Technology, Digital Marketing & Experience, Total Talent Management. A wide range of skills, all serving a single mission: connecting and powering companies with leading teams and technology to succeed faster and sustainably.

From its headquarters in Geneva, Switzerland, Mantu relies on a community of 11,500 talented people in more than 60 countries on 5 continents and has a turnover of 1 billion euros.

Our values are our guiding principles that steer everything we do; from the way we work with our clients and partners to how we interact with our teammates and candidates. The Mantu values – Pioneer Spirit, Care, Trust, Performance, and Independence as a cornerstone – are equally important and reflect our purpose: we are in business to build the next generation of sustainable pioneers.

• More than 1 year of relevant Java experience- (i.e. Java SE/EE 1.8 or later);
• Development of server-side software using object-oriented paradigm;
• Creation of automated unit and integration tests using mocks and stubs;
• Familiarity with Continuous Integration;
• Having knowledge of or already working as part of a Scrum team;
• Experience with the following is a plus:
• Creation of web-based user interfaces;
• Affinity with math, data science or machine learning

• Create software infrastructure using Java EE, which provides access to SQL and NoSQL storage, reliably manages job queues with switch-over and fail-over features, periodically collects of information from networked systems in the Fab and offers big-data-like storage and computational capabilities;
• Create on-site solutions that continuously monitors all scanners 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;
• Implement and validate algorithms that give our customers the power to reach optimal results during 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;
• Select and manage IT infrastructure that helps us run the software on a multi-blade server with plenty of storage. In this area, we use virtualization technologies, Linux, Python and Splunk in addition to Java.
• Use emerging technologies to turn vision into reality, e.g. using big data and machine learning;