Barcelona
5 days ago
Java Senior Software Engineer – MLPP – (Hybrid)
Job Description

Posted 19 hours ago

As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us!

We’re seeking an experienced Java Senior Software Engineer to join our Machine Learning Prod Platform Team in Barcelona, Madrid, Alicante or Milan (hybrid) to drive the development of our Machine Learning platform. Our mission is to develop and run the platform and infrastructure to operate our ML models. We work in close collaboration with our Data Scientists team, and help them to run the ML predictions in the production environment. We also build and run all the tools that an online ML platform needs (i.e. data tracking, feature store, …)If you’re ready to soar, we’re ready to take you there

Why eDreams ODIGEO
Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe.

Millions of customers every year across 44 markets – 5 brands – 7M members in Prime

More than 100 million searches per day – Up to 6 billion daily AI predictions[e1]

Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts – 36 average age

We’re the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. We are a tech company revolutionizing the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world’s first travel subscription program.

What you will do: 
The Role’s Key Responsibilities and Tasks

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a Java Senior Software Engineer in the Technology Team you will be in charge of:

You will work with innovative technologies including Java17, BigData (Kafka, Cassandra, Postgres, Big Quey, BigTable, Redis, Neo4j), machine learning, and Datamesh in a continuous delivery and cloud-based environment (Docker, Kubernetes, and GCP). Everything is supported by a high-quality monitoring process with Sonarqube and Datadog.

We don’t look just for developers to do their code and move on to next ticket, we want Engineers that challenge the status quo, that bring new ideas on the table, that can influence, drive and have a say in the way we address our customers, the way we build our  product and the way we work.

What you need to succeed:  
Good to have

Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed: 

You have meaningful experience being in a senior engineer role driving technical work for other engineers. You stay up-to-date on industry trends and understand how to apply them.

Provide technical guidance for complex initiatives. Deliver strategic technical improvements.

Improve code structure and architecture, taking care of testability and maintainability, identifying opportunities for technical investments to help the team meet the objectives.

Successfully deliver projects with high complexity, involving multiple stakeholders, including monitoring and mitigating timeline risks.

Successfully deliver projects with high complexity, involving multiple stakeholders, including monitoring and mitigating timeline risks.

Effectively give and receive feedback, including code reviews, architecture reviews, and mentoring other team members, coaching them to upgrade their skills and grow to the next level.

Communicate complex ideas to technical and business stakeholders, and establish alignment within the broader organization.

Team player -> You enjoy collaborating, sharing your skills and knowledge with others.

Good English level that will allow you to work in a multicultural environment. Our teams are from all over the world (> 50 nationalities), with different backgrounds, cultures and interests.

Preferred Qualifications

Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants.

Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows.

AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.

Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.

Collaboration with AI: Experience or interest in collaborating closely with AI tools as “pair programmers” to complement traditional software development practices.

What’s in it for you?

The best talent deserves the best benefits

At eDO, we want you to be a part of our success story and great culture. Here’s what we offer:

A rewarding Compensation package! 
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