Lead PHP Magento

Customer context :

• Independent French group
• Open to international markets
• Textile industry benchmark
• + more than 20,000 employees worldwide

The client is a multi-brand company and textile design studio. The customer owns several textile brands established worldwide.

The client is looking for a passionate Magento 2 team leader who loves e-commerce applications. You will participate in the development of the client's Magento 2 platform, one of the group's strategic e-commerce projects.

You'll be working in a friendly international environment (France, Germany, Ukraine, USA).

Values :

• Collaboration
• Respect
• Transparency

• Lead your team in an inclusive, emphatic and inspiring way that is respected by all.
• Support an established team of developers in their daily development experience and personal growth.
• Be an active partner of the product team to deliver the best possible value to our customers and stakeholders.
• Design and help develop, test, deploy, maintain and improve state-of-the-art applications.
• Make your team efficient, ensuring that technical debt is defined and actively addressed, that quality and safety standards are constantly improved, and that best practices are followed.

• You have knowledge of professional software engineering, e.g. SOLID principles, clean code, separation of concerns, data structures and algorithms.
• You're familiar with PHP and Magento 2 in particular.
• You're open to working with other technologies.
• You have experience with cloud configuration (e.g. GCP or AWS) and automated provisioning (e.g. Terraform).
• You're comfortable with microservices architectures, API-based communication and events.
• You have the ability to always strive for clean, tested and well-documented code within your team.
• You're a pragmatic technical leader who understands what it takes to get things done.
• You have excellent language skills in French and English to work in an international team.

A few additional benefits:

• Experience in making informed decisions based on data and other measurements (e.g., "what can't be measured can't be improved").
• Working knowledge of optimizing and scaling a traditional SQL database such as MySQL/MariaDB.