Senior Software Engineer - Machine Learning

Company Description

Launched in 1998, this pioneering British-born brand has specialised in creating amazing experiences and unforgettable memories - from hotels, city breaks and holidays to theatre, entertainment and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink".

lastminute.com is part of lm group, publicly traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

We are a digital travel company, with tech at its core, currently looking for motivated problem-solvers who will embrace the end-to-end responsibility of building,delivering and evolving relevant products.

As senior software engineer in lastminute.com, you will work in collaboration with Data Scientists and Machine Learning Engineers in our Strategic Analytics department and with Product and Development teams to directly impact the lives of a global population of travellers. You will be involved in building and developing our own scalable and resilient platforms to support an ever growing number of customers with machine learning. From the first day with us, you’ll experience working in a company with a “growing-sharing culture” with a lot of opportunities to improve existing products, bring new ideas to life.

Key Responsibilities

  • Design, write and test high-quality software by using a range of practises like TDD, DDD, Clean Code or SOLID Principles
  • Create resilient, secure, and performant applications able to serve millions of requests per day
  • Integrate Machine Learning microservices in our backend architecture
  • Define the best technical solution and infrastructure for new features together with architects, always focusing on CI/CD
  • Be responsible for the quality of the delivery 
  • Be responsible for the performance, reliability and scalability
  • Use tech expertise to proactively find solutions to solve complex issues, understanding and considering the business needs
  • Contribute positively to the team´s technical growth, sharing your technical knowledge by interacting with your peers in the day by day activities 
  • Make real impact Influencing and guiding engineers working in the whole technology department
  • Collaborate effectively with engineers, architects, machine learning scientists/engineers and stakeholders from multiple teams to solve complex problems to deliver end-to-end solutions

Qualifications

Essential

  • Strong experience as a Software Engineer programming in OO/FP languages but preferably in Java
  • Basic knowledge of Machine learning 
  • Basic knowledge of Python
  • Previous experience working with Clean code, SOLID principles and Agile mindset
  • Strong analytical skills and ability to take decision based on data
  • Ability to understand the business requirements
  • Positive and collaborative attitude
  • Growth mindset
  • Fluency in English both written and spoken

 

Desirable

  • previous working experience in a startup or product company
  • previous working experience with Python
  • previous working experience with machine learning pipelines
  • previous experience with XP practises

Additional Information

What we offer

  • Possibility to work in an international agile environment using eXtreme Programming practises
  • Dedicated time for personal growth
  • Bleeding edge technology stack (Java and Kotlin, Python, Spark, Spring Boot, Docker, Kubernetes and more ...)
  • Continuous learning program with technical internal sessions
  • Access to online learning platform like O’Reilly 
  • Possibility to join conferences around Europe for continuous improvement
  • Coding Dojo: a weekly training to learn and share coding techniques during office hours
  • LM-Talks: our very own knowledge sharing internal sessions

By joining our company, you will have the chance to:

  • Join a dynamic team in an inclusive-international environment
  • Grow thanks to the career journey and our internal mobility perspective
  • Manage your own schedule thanks to the flexible start and end of the working day
  • Work a shorter working week (36h), of which 4 hours on Friday morning
  • Get focus time for learning, development and deep work on Friday mornings
  • Work partially or fully remote according to local laws
  • Enjoy continuous training thanks to our company platform
  • Benefit from employee discounts on travel
  • Receive 2 days off per year for the purpose of volunteering
  • Receive a bonus after 5 and one after 10 years in the company
  • Get free snacks / fruit / hot drinks / water / beverages at our offices
  • Participate in amazing winter and summer corporate events
  • Benefit from extended parental or marriage leave

 

Hiring Process

Candidates for this position can generally expect a hiring process similar to the following (note that depending on location and availability, the process may be slightly modified and can be completed in its entirety within 2-3 weeks).

  • Selected candidates receive the first feedback on their application from our recruitment team
  • HR interview: We will have a talk of production on technical aspects, experiences and analysis of possible personal scenarios
  • 2 Technical interviews: Candidates will have the opportunity to meet our technical leaders while doing a pair session with them using an exercise to evaluate skills. (consider the exercise as a day by day work and it is not important to close all the points of the exercise,  but it is important how you reason on it and how you execute it)
  • Interview follow-up: Candidates will receive feedback from our recruitment team

Do you want to know more about our technologies? You can see our technological stack here*.