We are looking for an experienced Lead Full Stack Developer to drive a strategic initiative focused on transforming enterprise software engineering with AI-native solutions. You will play a pivotal role in advancing a unified engineering platform that leverages cutting-edge AI technologies, automates software delivery processes, and accelerates innovation across the development lifecycle.
This is your opportunity to lead a skilled Scrum team while remaining hands-on in the code — balancing technical leadership, solution architecture, and stakeholder engagement.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: 54.000,00€ - 120.000,00€ per year

Experience:

• React: 2 years (Required)
• Lead / Managing a team: 2 years (Required)
• .NET Core: 5 years (Required)

Work Location: Remot

• Lead a Scrum team of 4-6 developers/testers, fostering collaboration, growth, and high performance.
• Serve as the primary liaison to client representatives, ensuring clear communication and alignment on project priorities.
• Architect and develop AI-enhanced platforms, AI agents, and automation solutions that streamline engineering processes.
• Design and implement Proofs of Concept (PoCs) for AI integration into software engineering workflows.
• Mentor team members in best practices, design patterns, clean code, and performance optimization.
• Oversee software delivery from concept to production, ensuring high-quality, scalable solutions.
• Promote continuous improvement and innovation across both technology and delivery processes.
• Coordinate with cross-functional stakeholders, especially in a US time-zone collaboration model (~6-hour CET overlap ideal).
• Ensure compliance with data privacy, security standards, and regulatory requirements.