Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.
We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.
We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.
- Plan, design, execute, analyse, and document work within own area.
- Take ownership of specific components or features.
- Coordinate activities within the assigned responsibility area.
- Lead or support teams within the area of expertise.
- Contribute to specification reviews and technical discussions.
- Manage tools, methods, and processes related to the role.
- Estimate work and support planning activities.
- Provide guidance and support to internal teams and external stakeholders, including customer support.
- Share knowledge and deliver training within the area of expertise.
- Contribute to process improvements and development.
- Perform problem isolation and resolution.
- Participate in technical studies and research activities.
- MSc or BSc in Computer Science or a related field.
- Strong knowledge of object-oriented programming, data structures, and multithreading.
- Understanding of database concepts.
- Adaptability to new environments, teams, and cultures.
- Experience with REST and event-driven architectures (e.g., Kafka, NATS).
- Experience with cloud-oriented programming languages (e.g., Java, Python).
- Experience with NoSQL databases (e.g., MongoDB).
- Experience with container-based architectures (e.g., Docker, Kubernetes).
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Knowledge of network technologies (e.g., Ethernet, IP, DWDM).
- Experience with AI generation tools and Amazon AI-DLC.