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Our client is an award-winning software offering sourcing and recruiting solutions for the hospitality industry.
The platform has won multiple awards in Greece and abroad.
In June 2016 we were among the top 10 in the 2nd startup competition of MITEnterprise Forum Greece.
In May of 2017, they awarded in the “Innovation & Technology” 7th competition, in July 2017 we won the first “Judge’s Award” prize of the Reload Greece Challenge’17 program, while in February 2018 they won the 2nd prize of FUtourism 2018.
Our client participates in the NBGBusiness Seeds program of National Bank of Greece. Designed from Hoteliers for Hoteliers and combining the Hotel sector know-how with cutting edge technology, they have already gained the trust of hundreds of leading hotel brands in Greece and Cyprus and thousands of applicants in the hotel industry. Currently, they are expanding the software creating an AI recommendation tool for recruiting.
We are seeking a uniquely talented, insatiably curious Technical Lead with experience in designing and implementing web-based backend Java systems.
You will be part of a talented software team that works on a new, cloud-native, first of its kind application that employs Machine Learning to change how business make recruitment.
The responsibilities of the role span across the full software development lifecycle including design, development, testing, deployment and application management.
You will be expected to apply modern engineering principles, methodologies, tools and a systemic approach to support the launch of new business capabilities.
Bachelor’s degree in computer science, engineering, information systems or mathematics and/or equivalent formal training or work experience.
- Java EE/Spring/Web services (REST)
- SQL/NoSQL databases, data modeling
- Git, jUnit, Tomcat, UML
- Understanding of cloud-native principles (PaaS)
- Knowledge of Agile/Scrum methodology and CI/CD tools
- Strong communication and documentation skills
- Analytical/ problem-solving skills
Nice to have skills:
Understanding of Machine Learning (ML) principles and APIs (IBM Watson, Microsoft Azure Cognitive services)
Unstructured data parsing