Demo

Senior Full Stack Developer

POSTED ON 4/24/2025 AVAILABLE BEFORE 6/24/2025
Globis 9320 Aalst, VB Full Time

Location
Globis Software
Industrielaan 27 / 4
9320 Aalst, East-Flanders
Belgium


Globis is an innovative software company that develops and implements ERP, WMS and TMS solutions at medium-sized companies. Globis is investing significantly in R&D and has developed a Proof of Concept for a new product called GlobLearn, which will enable ‘Federated Learning’ in supply chains. With this, we aim to enable logistics companies -who collaborate horizontally in supply chains- to train machine learning models (such as ETA prediction) without having to make their data public to others in the chain.

Job Description:

We are looking for an ambitious Full Stack Developer to join our R&D team. Your role mainly consists of completing the outlined architecture of our new GlobLearn project and turning it into a working product. This job offers you the unique opportunity to build a future-oriented application that can make Supply Chains more efficient through artificial intelligence (AI), more specifically, Federated Learning. You will play a key role in developing a secure environment where each participant stores their own data locally via a Data Vault, but can still contribute to training collaborative machine learning models.

Your Responsibilities:

  • Complete and elaborate the project’s architecture where necessary. This means that you will have to make your own choices about the design and implementation of the project.
  • Integrate various open-source components crucial for the security and functionality of the Data Vaults and Federated Learning.
  • Making the project scalable with containerisation and orchestration technologies.
  • Developing different front-ends, for use of the GlobLearn project by the different participants (both administrator and participant)
  • Working with machine learning (federated learning) tools.
  • Collaborating with other developers and stakeholders to build a user-friendly, secure and scalable solution.
  • Performing pilot implementations at our customers in various supply chains.


Your Profile:

We are looking for a candidate with:

  • Bachelor’s or master’s degree in IT, computer science, engineering or other related field.
  • Minimum 3 years’ experience as a full stack developer.
  • Experience with version control (Git) and CI/CD
  • Basic knowledge of machine learning principles and tools (e.g. Pytorch)
  • Experience with front-end development (HTML, CSS, JavaScript frameworks (Angular/React/…)
  • Good problem-solving skills.
  • Ability to build and manage complex systems.
  • Interest in continuously expanding own area of knowledge.
  • Strong communication skills and the ability to work with a multidisciplinary team as well as individually.
  • Communicative in English, both written and spoken.


Bonus skills:

  • Experience in the supply chain domain
  • Experience calculating data quality and knowledge of key quality metrics
  • Experience with cloud platforms (AWS, Google Cloud, Azure)
  • Knowledge of secure data storage such as Data Vaults and data security.
  • Knowledge of Federated Learning
  • Knowledge of container orchestration technologies such as Kubernetes and related projects


Our Offer:

We provide a stimulating opportunity within a dynamic company characterized by a horizontal structure and a relaxed atmosphere. Our company culture emphasizes autonomy and flexibility. We function as a united team, fostering connections both in-person and virtually, with informal Friday gatherings to round off the week. Our comprehensive package includes:

  • The chance to work on a ground-breaking product that could change the future of supply chain collaboration.
  • A dynamic, innovative work environment with an experienced team of developers and researchers.
  • A competitive salary with additional legal benefits.
  • The opportunity to further develop yourself within the field of Federated Learning, AI and supply chain optimisation.


Please be aware that we provide equal opportunities for all applicants and actively encourage candidates from diverse backgrounds to apply.

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