Senior Java Backend Developer - Applied Machine Learning (f/m/d)

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  2. Senior Java Backend Developer - Applied Machine Learning (f/m/d)
Holidu is one of the fastest-growing travel tech companies worldwide. Our mission is to finally make the search and booking of vacation rentals easy. We are on this journey in an international team of travel and technology enthusiasts, each of us having an impact on millions of travelers and thousands of vacation rental owners. So, pack your bag, hop on board and get ready for takeoff!

Your future crew

You will have the opportunity to bring your unique backend perspective to a team of data scientists in order to find, test and bring live the best suited and most reliable ML models for Holidu.
In addition you will own the feature development and architecture of our search engine and the related microservices with your fellow backend developers in the search department.

Our Tech Stack

  • We are writing the Search Engine and other applications with a microservice approach, using  Java 11, with Spring Boot, running on Kubernetes
  • Data storage with Elasticsearch 7, PostgreSQL, Kafka, MongoDB, Redis, S3
  • Heavy usage of AWS, Kubernetes, Docker, Jenkins, Git
  • Web-Application and internal applications written with ReactJS
  • Native iOS and Android Apps written with Swift and Kotlin
  • Monitoring with ELK, Grafana and internally developed technologies
  • Unit tests written in Kotlin
  • Most of the Machine Learning pipelines involve Python, TensorFlow and VowpalWabbit

Your role in this journey

  • You will be part of the team which is fully responsible for our search engine and all related technologies as well as for the ranking of properties on our website and the deployment of ML models into production.
  • You will develop new features that will be used by millions of users.
  • You will have the freedom to implement your own ideas on how to improve and develop our products further.
  • You will build, with your team, highly scalable applications with state of the art technologies.
  • You will work in a squad based organization alongside other Backend Developers, Data Scientists and Product Managers. Together you are responsible for delivering the greatest possible product that offers the best possible experience to our customers.

Your backpack is filled with

  • A degree in Computer Science, or a related field
  • An interest in the field of applied Machine learning 
  • Multiple years of professional development experience in Java, after or during your studies
  • Ideally experienced with deploying custom ML models
  • Ideally you have also worked or you have the strong motivation to work with AWS, Elasticsearch, microservices, Kubernetes and the rest of our tech stack.
  • You love coding and building world class products! We do and we hope you share our ambition!

Our adventure includes

  • Have an impact on the millions of people using our product every month.
  • Grow with responsibility from day 1 and develop yourself through regular feedback.
  • Connect and have fun with diverse yet like-minded people at work, regular events and weekly office days with your team.
  • Get to know the world with our flexible home office policy and the opportunity to work from other local offices. 
  • Learn languages with meetings in English and subsidised German classes.
  • Get in shape with a premium gym membership for a discounted rate.
  • Go travelling for 28 vacation days + 13 public holidays in Bavaria.
  • Get a sneak peek at the adventure that awaits you on Instagram @lifeatholidu.

Want to travel with us?

Apply online on our career page! Your first travel contact will be Sarah from HR.

We champion diversity in every aspect of life. We encourage applications from all genders, corners of the world and individual backgrounds. Please feel welcome to submit your application without a photo and details on your gender, date of birth, marital status and nationality. If you have a disability or special need that requires accommodation, please let us know.

Location

Munich, Germany